Some PhD/post-doc opportunities
lingfei wu
Postdoc in Informatics, University of Skövde, Sweden
University of Skövde, Sweden, is seeking a post-doctor in Informatics who will focus on topic modeling based on over 700 000 sources from the Internet. The post-doc will be a part of the project PET - “Picking the Winners: Forecasting Emergent Technology through Bibliometrics/Altmetrics, Topic Modeling and Information Fusion”, which is a collaboration with Recorded Future, AstraZeneca and University of Borås. The post-doc will be affiliated with the Skövde Artificial Intelligence Lab (SAIL), which is one of the oldest and most prominent research groups in artificial intelligence (AI) in Sweden.
For further detail, please see: http://www.his.se/en/about-us/Job-opportunities/job-opportunities/Postdocs/Post-Doctor-in-Informatics-HS-2015902-application-deadline-January-20th-2016/
Masters & PhD Position in Deep Learning for Natural Language Processing at INSIGHT @ NUIGalway, Ireland
The Knowledge Discovery Unit at the INSIGHT Centre for Data Analytics [1] at the National University of Ireland Galway [2] is seeking applications for Masters and PhD students candidates.
The Knowledge Discovery Unit focuses on the investigation of the principles and applications behind the next generation of intelligent, meaning-oriented systems, investigating new approaches for the semantic representation, processing and analysis of large-scale heterogeneous data in context. The Unit focus lies at the intersection between unstructured and structured data sources in order to derive actionable knowledge. The unit is cross-disciplinary and conducts high impact research across the fields of Natural Language Processing, Semantic Web, Linked Data and Data Visualization and Graph Analytics .
The selected candidate will concentrate on researching the application of Deep Learning and Distributional Semantic models for addressing different Natural Language Processing tasks, including semantic and entity search, question answering and text entailment.
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PhD Position Requirements
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- Bachelors degree in computer science, maths, science or engineering (MSc is a plus)
- Good English communication skills
- Good programming skills (Industry experience is a plus)
- Attend the prerequisites for PhD studies at NUI Galway [3]
==============================
Masters Position Requirements
==============================
- Bachelors degree in computer science/computational linguistics, mathematics, science or engineering
- Good English communication skills
- Good programming skills (Industry experience is a plus)
- Attend the prerequisites for MSc studies at NUI Galway [3]
INSIGHT is a newly created research centre, which brings together leading Irish academics from 5 of Ireland's leading research centres (DERI, CLARITY, CLIQUE, 4C, TRIL). INSIGHT @ NUI Galway (formerly DERI [5]) is an internationally recognised institute of 130 people that focuses on research in Big Data, Semantic Web and Web Science.
INSIGHT@NUI Galway is based in Galway, one of the most beautiful Irish cities shaped by artistic communities, active student life, innovative industry and leading edge research. Galway is located at the beautiful west coast of Ireland within the Galway Bay, 'between' Europe and the U.S., making it an ideal hub for national, European and international research.
The PhD fellowship will have a duration of 4 years, with a tax free stipend of €1,500 per month and includes academic fees for the doctoral programme.
The MSc fellowship will have a duration of 2 years, with a tax free stipend of €1,200 per month and includes academic fees for the Masters programme.
Remuneration: PhD fellowships are €1,500 per month (tax free).
Masters fellowships are €1,200 per month (tax free).
To Apply: Applicants should include a cover letter, curriculum vitae and other supporting documentation. Please send by email (text, postscript or PDF only) under the 'Application' Msc-PhD-KDU-1 to brian...@insight-centre.org
Postdoctoral Researcher
Center for Behavior, Institutions and the Environment
lingfei wu
* Knowledge Graphs for Natural Language Processing
* Linked Open Data
* Semantic Knowledge Mining and Web Intelligence
* Big Data Management and Analysis
The candidate will work in collaboration with other researchers, developers and students on national and international projects managed by SISINF lab.
What is Required:
* PhD degree in computer science or a related technical field.
* Demonstrated ability to work independently and collaboratively in an interdisciplinary team.
* Excellent academic/research record on the topics of interests.
* Oral and written proficiency in English.
Additional Desired Qualifications:
* Creation and management of knowledge graphs.
* Machine Learning with massive data and related tools.
* Natural Language Processing and related tools.
* Named Entity Recognition and Entity Linking.
* Linked Open Data technologies and applications.
* Proficiency and experience in programming languages such as Java or Python.
The work will be supervised by Tommaso Di Noia (http://sisinflab.poliba.it/dinoia/)
Interested applicants are invited to submit a detailed Curriculum Vitae (CV), as well as a description of their academic and research experiences in English to Tommaso Di Noia:tommaso...@poliba.it
Workplace:
Polytechnic University of Bari - Italy
Information Systems Laboratory - http://sisinflab.poliba.it
Bari is a city with a wonderful climate all year long and with a lively social life. The international Bari airport offers connections to key international destinations, including several low-cost airline flights.
Gross salary:
€ 26.214,60/year.
The posting shall remain open until the position is filled. The expected starting date isJanuary 1, 2016 (at last February 1, 2016).
currently advertising 3 PhD scholarships for 2016 on the following
topics/themes:
* Learning Analytics, Agency and Algorithmic Accountability
* Learning Analytics for Student Writing Practices
* Learning Analytics Across Digital and Physical Spaces
http://utscic.edu.au/research/phd
CIC’s mission is to invent, evaluate and theorise the design of
human-centered data science and learning analytics to advance the UTS
Teaching & Learning program. As you will see from our Research Themes and
the three PhD topics advertised, a core theme is analytics techniques to
nurture in learners the creative, critical, sensemaking qualities needed
for lifelong learning, employment and citizenship in a complex,
data-saturated society.
The website contains further detail on the topics, and CIC's context. We
welcome informal contacts in the first instance. Please do pass this
information along to anyone/group who might be a good candidate to apply.
Simon Knight
<http://utscic.edu.au/research/phd>
Postdoctoral Researcher
Center for Behavior, Institutions and the Environment
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lingfei wu
Funded PhD positions in the area of Interactive Information Retrieval at Rutgers iSchool
Rutgers: http://www.rutgers.edu/
SC&I: http://comminfo.rutgers.edu/
We have multiple openings to fully support PhD students for research focusing on information retrieval/seeking, social media, and their intersection. Specifically, Prof. Nick Belkin and Prof. Chirag Shah are looking for new PhD students to work with them on their newly funded NSF project on "Characterizing and Evaluating Whole Session Interactive Information Retrieval” (http://inforetrieval.org/iir/). The funding includes a stipend of at least $26,000, full waiver of tuition and fees, health benefits and travel support.
The deadline for application with a consideration for financial assistant is January 15th (apply earlier if possible).
Finally, know that we have a fairly centralized application process, which means we do not get to make any decisions about whether or not to accept a given student -- it is a much more holistic evaluation of each applicant's overall promise done by the graduate school and the PhD faculty at SC&I.
That said, if you are applying with a particular interest in information retrieval/seeking or social media, please 1) mention our names in your statement of interest, and 2) send us a brief email with a link to your CV so we can keep an eye out for your application and put a good word in for you. We receive *many* such emails so unfortunately cannot reply to all, but trust we'll receive it if you send it.
job opening London
Royal Holloway, University of London has announced a job opening for a
lecturer in Digital Media, department of Media Arts.
You can see the official Job Announcement and application details at this
link: https://jobs.royalholloway.ac.uk/vacancy.aspx?ref=1215-373
*Salary: *£41,030 to £48,548 per annum - including London Allowance
*Closing Date: *Friday 29 January 2016*Interview Date: *Tuesday 16 February
2016
Please feel free to forward this on to people that may be interested.
Olga Goriunova
Senior Lecturer, Media Arts
Royal Holloway, University of London
Syracuse University’s School of Information Studies welcomes applicants for our doctoral program. Admitted students are assured of at least four year’s funding (including summers) along with tuition and other support.
The interdisciplinary nature of our program is visible through the backgrounds of the 30 current doctoral students. These students hail from ten countries and have academic training in the social sciences, communications, business, computer science, librarianship, linguistics, information science, and others areas. Our doctoral program is a welcoming and inclusive place for scholars from under-represented populations, something we see as a defining element of our program.
Doctoral students pursue individualized course plans that are tuned to their particular research interests and needs. This means advising and, more importantly, close working relationships with faculty members is a cornerstone of the Syracuse University iSchool Ph.D. program. This is why it is both residential and full-time.
We celebrate the success of our recent graduates who are taking up tenure-track positions in premier research institutions and exceptional liberal arts colleges, excelling in academic and policy think tanks, and pursuing entrepreneurial success! Current students are earning awards for their publications and dissertation work, continuing a long tradition of such recognition.
For 2016, we are particularly interested in speaking with applicants and seeing applications from those whose interests align with one or more of the following research areas
+ Text and data mining, Natural Language Processing and Information Retrieval
+ Computational social science, visualization, and data analytics
+ Agent-based modeling
+ Information policy, Internet governance, and telecommunications policy
+ Librarianship
+ Mobile computing
+ Data infrastructure and services in support of research
+ Organizational impacts of ICTs (e.g., Citizen Science, FLOSS, Wikipedia, mobile work, distributed scientific collaboration, and infrastructure studies)
+ Information security and privacy
+ Social computing, social media, social networks, and crowdsourcing
+ Wireless telecommunications policy and telecommunication service markets
You can learn more about the Syracuse iSchool faculty and interests at https://ischool.syr.edu/research/faculty-research-areas/
You can learn more about the doctoral program and application (due 3 January, 2016) at https://ischool.syr.edu/academics/graduate/doctoral/information-science-and-technology/.
Please reach out to the faculty member whose interests draw you forward, the program director, Steve Sawyer, at ssa...@syr.edu , or our program manager, Jennifer Barclay, at ist...@syr.eduwith questions!
--
Associate Professor
School of Information Studies
Syracuse University
VU University Amsterdam, Department of Computer Science
=== The position ===
Amsterdam Data Science, an initiative of the University of Amsterdam (UvA), VU University Amsterdam (VU), Amsterdam University of Applied Sciences (HvA), and Centrum Wiskunde & Informatica (CWI), involving 15 researchers at the postdoc/PhD level. These positions are funded by the Amsterdam Academic Alliance (AAA), a joint initiative of the UvA and VU aimed at intensifying collaboration with each other and knowledge institutions in the region, to cement Amsterdam's position as a hub of academic excellence. These positions are partially co-funded by CWI, Faculty of Social and Behavioural Sciences of the UvA, HvA, ORTEC, Philips, Spinoza fund of Prof. Vossen, and VUmc.
Amsterdam Data Science provides a network in which some 300 Amsterdam based scientists exchange Data Science knowledge and forge partnerships within and outside the academic community. This comprises the foundations of data science and data science for the life sciences, social analytics, business analytics, and digital humanities.
This advertisement concerns one of the 15 positions. This postdoctoral researcher position is with Prof. Eiben, Dr. Hoogendoorn and Dr. Haasdijk, in the Computational Intelligence Group of the Department of Computer Science of the VU University Amsterdam and Philips Research.
The position is focused on the development and application of machine learning and computational intelligence techniques in the domain of healthy living and population health. The overall aim is to develop techniques to collect lifestyle and health related data from large collectives of heterogeneous devices (smart phones, watches, smart environments) and to build user models from such data to provide customized support over extended periods of time. The “device cloud” is to operate in a collaborative and collective way, adapting to the circumstances and to various clusters of similar users. The project foresees in several user experiments to evaluate the technology and the algorithms. The project is a close collaboration between the VU Amsterdam and Philips Research and while the PostDoc will be based at VU Amsterdam it is expected that (s)he will also spend time at the High Tech Campus in Eindhoven.
=== Tasks ===
● Conducting research in the area of machine learning and computational intelligence to create adaptive devices for population health, resulting in high quality publications.
● Contribute to the teaching program of the Department of Computer Science (supervision of Master students, contributing to a course within the department’s curricula)
● Writing research proposals to fund future collaborations between the parties involved (and if desired to fund extensions of the current position)
● Act as a linking pin between the two parties involved in the collaboration (VU Amsterdam and Philips Research).
=== Requirements ===
● The candidate should have a strong background (PhD) in related field of Computer Science, such as Artificial Intelligence or Machine Learning.
● Experience with the development and implementation of machine learning/computational intelligence techniques.
● Excellent communication skills.
● Affinity with the domain of eHealth and Population health.
● Experience in teaching and supervision of Master students.
=== Further particulars ===
The initial appointment will be for a period of three years at VU Amsterdam. You can find information about our excellent employment conditions at www.workingatvu.nl such as:
● Remuneration of 8,3% end-of-year bonus and 8% holiday allowance;
● Solid pension scheme (ABP);
● A minimum of 232 holiday hours in case of full-time employment;
● Possibilities to save up holidays for sabbatical leave.
● A commuting allowance (65%) based on public transport.
=== Salary ===
The salary will be in accordance with university regulations for academic personnel, and depending on experience, range from a minimum of € 2.476 gross per month up to a maximum of € 3.908 gross per month (salary scale 10) based on a full-time employment.
=== About the organization ===
VU University Amsterdam is one of the leading institutions for higher education in Europe and aims to be inspiring, innovative, and committed to societal welfare. It comprises ten faculties and has teaching facilities for 23.000 students.
The Faculty of Sciences performs research in the areas Life & Health, Networked World, Fundamentals of Science, and Energy & Sustainability. More than 1700 students participate in mono- and interdisciplinary bachelor and master courses. The staff is hosted in the departments of Physics, Chemistry & Pharmaceutical Sciences, Mathematics, and Computer Sciences.
=== Further information ===
For additional information please contact:
Dr. M. Hoogendoorn
Email: m.hoog...@vu.nl
Phone: +31 20 59 87772
Prof. A.E. Eiben
Email: a.e....@vu.nl
Phone: +31 20 59 87758
You may find the following websites useful:
• Amsterdam Data Science amsterdamdatascience.nl/
• Computer Science VU www.cs.vu.nl
• Computational Intelligence Group http://www.cs.vu.nl/ci
=== Application ===
Applications may only be submitted via informatica.se...@vu.nl before January 7 2016. To process your application immediately, please quote the vacancy number and the title of the position you are applying for in the subject-line. Applications must include a detailed curriculum vitae, a motivation letter explaining why you are the right candidate, list of projects you have worked on with brief descriptions of your contributions and the names and contact addresses of two academic references from which information about the candidate can be obtained. All these should be grouped in one PDF attachment.
---
Dr. Mark Hoogendoorn
Assistant Professor
VU University Amsterdam, Department of Computer Science
De Boelelaan 1081, 1081 HV Amsterdam, the Netherlands
tel. +31 20 598 7772 mob. +31 653922626
url. http://www.cs.vu.nl/~mhoogen/
NTT Assistant Professor of UXD at Kent State University
More information available at : https://jobs.kent.edu/postings/5410
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The Department of Communication and New Media (CNM) at the National
University of Singapore seeks outstanding candidates for three tenure-track
Assistant Professor positions, with research that complements our strengths
in new media studies. CNM is a dynamic group of researchers who specialize
in emergent issues at the intersections of media and communication in
today’s digitally networked media environment.
We are seeking three individuals with expertise in one or more of the
following broad areas: 1) Social media –computer-mediated communication,
social and semantic network analysis, big data and computational methods,
interaction design and analysis, digital risks and privacy, socially
mediated relationships. 2) Critical theory and new media – ICTD, digital
rhetoric and digital humanities, cultural studies of new media, political
economy of new media, postcolonial theories of new media, new media
mobilities, digital Marxist theory, performance studies and new media, new
media policies and regulations, digital ethics. 3) New media and political
communication – activism, elections and campaigns, power and politics,
collective action, social movement, civic engagement, public opinion,
political psychology and behavior. The Department is situated within the
Faculty of Arts and Social Sciences at NUS, Singapore. It offers degree
programs at the undergraduate, masters, and doctoral levels, and is ranked
among the top Communication and Media Studies departments globally.
Remuneration and work support provided are internationally competitive.
Please submit: (1) Research and teaching interest statements, (2)
Curriculum Vitae including publications and teaching experience, (3) names,
affiliates, and contact details of PhD supervisor and three other
references, (4) selected copies of up to 2 journal/conference articles or
book chapters representing best work.
To be fully considered for the positions, applications should arrive
before *January
3, 2016.*
The start-date for the position is July 1, 2016. Candidates who are at the
ABD stage and can show strong evidence of PhD completion by 2016 summer are
welcome to apply. We strongly uphold the principle of non-discrimination
and encourage every qualified individual to apply.
Enquiries and applications should be sent to Ms. Gayathri D/O Dorairaju at
cnmc...@nus.edu.sg.
-----------------------
Asst. Professor in HCI & Info. Retrieval
Mixed Reality Lab
School of Computer Science
University of Nottingham, UK
-----------------------
max.w...@nottingham.ac.uk
http://cs.nott.ac.uk/~mlw
+44 (0) 115 84 66551
Professeure agrégée | Associate Professor
Maryland's iSchool, College of Information Studies
Open Rank, Tenure-track faculty position
We seek a colleague whose research and teaching interests focus on the transformative role of information in communities; the transformative impact of information on individuals, institutions, and organizations within communities; and/or the ways in which information transforms and is transformed by communities. Communities are broadly defined and may be virtual. They could include people who are in the same geographic region; who share a common culture, occupation, interests, practices, or needs; or who engage with particular institutions such as government or education or libraries.
Areas of research/teaching may include (but are not limited to):
- Understanding information, communication, and technologies in community contexts; Information and/or technology use by groups and communities to address their needs;
- Solving problems and promoting or managing change in communities through the use of information and/or technologies;
- The study and practice of community, social, and/or policy informatics;
- The role of information and/or technologies in community leadership, outreach, advocacy, and activism;
- Promoting equity, inclusion, and justice in communities through information and/or technologies;
- The roles of information and/or technologies in processes of community formation, development, and dissolution;
- The influence of information and/or technologies on community perceptions.
Minimum Qualifications: Ph.D. or equivalent in a related area at time of appointment; demonstrated research excellence; a research agenda with the potential to attract external support; interest in developing effective and innovative teaching.
Preferences: The ideal candidate will:
- Conduct cutting edge, high impact research that shapes the information field;
- Craft exceptional educational experiences for students;
- Aspire to leadership roles in relevant professional service; and
- Thrive in an diverse, interdisciplinary environment.
The University of Maryland, College Park, an equal opportunity/affirmative action employer, complies with all applicable federal and state laws and regulations regarding nondiscrimination and affirmative action; all qualified applicants will receive consideration for employment. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, religion, sex, national origin, physical or mental disability, protected veteran status, age, gender identity or expression, sexual orientation, creed, marital status, political affiliation, personal appearance, or on the basis of rights secured by the First Amendment, in all aspects of employment, educational programs and activities, and admissions.
lingfei wu
Postdoc position in Natural Language Processing
The University of Massachusetts Medical School at Worcester, MA is recruiting for multiple positions to participate research development in natural language processing (NLP) in the biomedical domain. The group’s research (http://www.bio-nlp.org/index.php/projects) involves developing NLP and text mining approaches for gathering, analyzing and interpreting heterogeneous data from multiple text sources, including social media, literature, textbooks, and electronic health records. Recruits will develop neural networks, memory networks, reinforcement learning or other machine learning approaches for big data analysis.
Requirements: PhD in Computer Science, Computational Linguistics or Biomedical Informatics with expertise in natural language processing, machine learning or information retrieval with excellent writing and communication skills and ability to work with the research team.
If you are highly motivated and passionate about research in big data research, please contact Hong Yu (hon...@umassmed.edu) with your resume or CV and a cover letter.
Professor, Department of Quantitative Health Sciences
Department of Computer Science (Adjunct)
University of Massachusetts Medical School
AS6-1083 ASC-QHS, 368 Plantation Street, Worcester, MA 01605
Research Health Scientist,
Bedford VAMC
Job AD: Senior Lecturer or Reader in Digital Media [UK]
Media and Communication research is about to celebrate its 50th year at Leicester and the department can boast a high level of Research and Teaching Excellence in their field, ranked 8th in the UK in the 2016 Complete University Guide.
In only its second submission to the National Research Excellence Framework the research profile of the University of Leicester’s Media and Communication Department was judged to be 82% World Leading or Internationally Excellent. It was placed 15th overall for media research in the country, and in the top ten when factoring in the high numbers of research active staff. Media and Communication at Leicester is therefore a dynamic and diverse department and an increasingly exciting place to conduct research in the UK.
We are looking for a specialist in digital media who has methodological expertise from the Social Sciences or Humanities, for instance from one or several of the following areas:
Big Data.
Social Media.
Computational Social Sciences.
and / or
Web Analytics.
You will be expected to undertake high quality research in your field of expertise and to take a leading role in the development our Digital Networks and Communication research cluster. You will take a pro-active approach to developing research collaborations, submitting grant applications, attending and organising conferences and seminars, and enhancing the research profile of the Department.
You will also be responsible for leading on scholarship, teaching, PhD Supervision and administration and other activities supporting the work of the Department and developing and enhancing its reputation.
Please click here for more information
Informal enquiries are welcome and should be made to Professor Helen Wood on hw...@le.ac.ukor 0116 223 1816 or Dr Panayiota Tsatsou on 0116 252 2889 or pt...@le.ac.uk.
The closing date for applications is midnight Monday 25th January 2016.
Interviews are anticipated to take place on Friday 26th February 2016.
lingfei wu
open faculty positions at computer science depertment at AAU
Associate professorships (tenured) with deadline February 1, 2016: http://www.stillinger.aau.dk/vis-stilling/?vacancy=785014.
Assistant professorships, with deadline March 1, 2016: http://www.stillinger.aau.dk/vis-stilling/?vacancy=785013
Scholarly Communication Doctoral Fellowship
The School of Informatics and Computing at Indiana University Bloomington seeks to recruit an exceptional doctoral student with interest in issues related to scholarly communication for the IDEASc fellowship program, funded by the Institute for Museum and Library Services (IMLS) and hosted by the Department of Information and Library Science (ILS) and the University Libraries at Indiana University Bloomington (IUB). IDEASc – Integrated Doctoral Education with Application to Scholarly Communication – is a fellowship program designed to further scholarship and practice in the area of scholarly communication by integrating practical experience in the library with the research and classroom experiences that comprise the traditional education of doctoral students. The Fellow will be provided with intensive mentoring, wide-ranging opportunities to work and conduct research in scholarly communication, and comprehensive training in pedagogy, curricular development, and in-class instruction. Our efforts are motivated by an awareness of the complex transformations of library roles in the scholarly communication environment and the increasing need to educate future LIS faculty with an integrated understanding of research and practice to meet the needs of future MLS students.
The Fellow will receive a stipend of $23,000, health insurance, tuition, travel assistance, and funding for publication in an open access journal for three consecutive years as part of this program. The Fellow will also have an opportunity to work in the library with experienced and innovative librarians and with leading faculty studying the diverse range of issues related to scholarly communication. Potential topics of interest include, but are not limited to, digital libraries, scientometrics, intellectual property, metadata, social media metrics, university presses, data curation, digital humanities, scholarly publishing, institutional repositories, and copyright. Additional information can be found on the project website:
http:info.ils.indiana.edu/IDEASc
Indiana University Bloomington is particularly well-situated to support this proposal given its campus-wide focus on issues of scholarly communication as well as the strengths of both the Indiana University Bloomington Libraries and the Department of Information and Library Science in this domain. This is a time of systemic change in how institutions create, sustain, and provide access to information, and libraries and LIS professionals are uniquely situated to influence the direction of this change. The project will graduate doctoral students who are not only familiar with issues of scholarly communication but will also, as leaders in the field, understand scholarly communication from the varying perspectives of practice, education, and research.
Applicants will need to apply to and meet the requirements for the ILS Ph.D. program. Information on the Ph.D. application process can be found on the departmental website (http://ils.indiana.edu/phd/). Students will additionally be asked to send their personal statement, writing sample, and CV/resume directly to Dr. Cassidy R. Sugimoto (sugimoto [at] indiana.edu). Applications should be received by February 1, 2016 for full consideration.
Indiana University Ph.D. Program in Information Science Accepting Applications by January 15th, 2016
Indiana University Ph.D. Program in Information Science Accepting Applications by January 15th, 2016
Funding packages with $46,000 per year are available for top candidates.
We welcome applications to our doctoral program at Indiana University Bloomington. Our Ph.D. in Information Science celebrates over 50 years and over 185 graduates. Ourdoctoral program is one of the longest continuously running Information Science programs in the U.S. and has one of the highest number of graduates, including distinguished and productive professors, deans of schools and libraries, directors of doctoral programs, editors of journals, excellent educators, and presidents of national professional associations.
Our Ph.D. in Information Science trains the next generation of information scientists—the people who will advance the knowledge in this field. Doctoral students are advised by faculty that are engaged in cutting-edge research areas such as:
- · Social Informatics
- · Computer-Mediated Communication
- · Crowd Sourcing
- · Social Media
- · Online Communities
- · Information Visualization
- · Scientometrics
- · Data Science
- · Digital Curation
- · Scholarly Communication
- · Digital Humanities
- · Semantic Web & Linked Data
- · Complex Network Analysis
- · Data & Text Mining
- · Information Retrieval
Our students can benefit from our active community of scholars that includes these Research Centers:
- · Catapult Center for Digital Humanities and Computational Analysis
- · Cyberinfrastructure for Network Science (CNS) Center
- · Rob Kling Center for Social Informatics (RKCSI)
- · Web Science Lab
Located in the university town of Bloomington, Indiana, the program is supported by both an extensive research infrastructure and a beautiful setting. The technology and library resources at IU are stellar while the abundance of and access to nature, the arts, and international cuisine in Bloomington enrich out-of-class hours.
Interested in our doctoral program? Have questions?
Contact: Dr. Ying Ding, ILS Ph.D. Program Director at ding...@indiana.edu
Indiana University Ph.D. Program in Information Science Accepting Applications by January 15th, 2016
Indiana University Ph.D. Program in Information Science Accepting Applications by January 15th, 2016
Apply Today!
Funding packages with $46,000 per year are available for top candidates.
We welcome applications to our doctoral program at Indiana University Bloomington. Our Ph.D. in Information Science
celebrates over 50 years and over 185 graduates. Our doctoral program is one of the longest continuously running
Information Science programs in the U.S. and has one of the highest number of graduates, including distinguished and
productive professors, deans of schools and libraries, directors of doctoral programs, editors of journals, excellent
educators, and presidents of national professional associations.
Our Ph.D. in Information Science trains the next generation of information scientists—the people who will advance the
knowledge in this field. Doctoral students are advised by faculty that are engaged in cutting-edge research areas such
as:
· Social Informatics
· Computer-Mediated Communication
· Crowd Sourcing
· Social Media
· Online Communities
· Information Visualization
· Scientometrics
· Data Science
· Digital Curation
· Scholarly Communication
· Digital Humanities
· Semantic Web & Linked Data
· Complex Network Analysis
· Data & Text Mining
· Information Retrieval
Our students can benefit from our active community of scholars that includes these Research Centers:
· Catapult Center for Digital Humanities and Computational Analysis
· Cyberinfrastructure for Network Science (CNS) Center
· Rob Kling Center for Social Informatics (RKCSI)
· Web Science Lab
Located in the university town of Bloomington, Indiana, the program is supported by both an extensive research
infrastructure and a beautiful setting. The technology and library resources at IU are stellar while the abundance of
and access to nature, the arts, and international cuisine in Bloomington enrich out-of-class hours.
Interested in our doctoral program? Have questions?
Contact: Dr. Ying Ding, ILS Ph.D. Program Director at ding...@indiana.edu
Inbox | x |
lingfei wu
Please spread the word (and apply if this fits you!)
application guidelines at:
http://bit.ly/1ZBPa4o
blurb below (please follow the application guidelines closely)
APPLICATION DEADLINE: JANUARY 29, 2016
Microsoft Research New England (MSRNE) is looking for advanced PhD students to join the Social Media Collective (SMC) for its 12-week 2016 Intern Program. The Social Media Collective scholars at MSRNE bring together empirical and critical perspectives to address complex socio-technical issues. Our research agenda draws on a social scientific/humanistic lens to understand the social meanings and possible futures of media and communication technologies. The ideal candidate may be trained in any number of disciplines (including anthropology, communication, information studies, media studies, sociology, science and technology studies, or a related field), but should have a strong social scientific or humanistic methodological, analytical, and theoretical foundation, be interested in questions related to media or communication technologies and society or culture, and be interested in working in a highly interdisciplinary environment that includes computer scientists, mathematicians, and economists.
MSRNE internships are 12-week paid internships in Cambridge, Massachusetts. PhD interns are expected to be on-site for the duration of their internship. Primary mentors for this year will be Nancy Baym, Tarleton Gillespie, and Mary L. Gray, with additional guidance offered by our lab postdocs and visiting scholars.
PhD interns at MSRNE are expected to devise and execute a research project (see project requirements below), based on their application project proposals, during their internships. The expected outcome of an internship at MSRNE is a draft of a publishable scholarly paper for an academic journal or conference of the intern’s choosing. Our goal is to help the intern advance their own career; interns are strongly encouraged to work towards a creative outcome that will help them on the academic job market. Interns are also expected to collaborate on projects or papers with full-time researchers and visitors, contribute to the SMC blog, give short presentations, attend the weekly lab colloquia, and contribute to the life of the community through weekly lunches with fellow PhD interns and the broader lab community. While this is not an applied program, MSRNE encourages interdisciplinary collaboration with computer scientists, economists, and mathematicians.
For guidelines and more info, go to:
http://bit.ly/1ZBPa4o
The Emerging Media and Communication program is hiring multiple faculty
members across our different concentrations: social science (which we are
calling Media Psychology), media studies, and new media art/creative.
Here's a link to the ad:
http://provost.utdallas.edu/facultyjobs/welcome/jobdetail/pxc151216
Please share this with colleagues.
Best,
Rosanna
---
Rosanna E. Guadagno, Ph.D.
Associate Professor of Emerging Media and Communication
Associate Professor of Psychology
The University of Texas at Dallas
800 West Campbell Road, Mail Station ATC10
Richardson, TX 75080
Email: Rosanna....@utdallas.edu
Phone: 972-883-7541
Lab Site: www.onlinesocialinfluence.net
My Psychology Today Blog:
http://www.psychologytoday.com/blog/why-people-click
Associate Editor, Inquisitive Mind: (http://in-mind.org)
Associate Editor, International Journal of Interactive Communication
Systems and Technologies: (
http://www.igi-global.com/journal/international-journal-interactive-communication-systems/41029
)
The University of British Columbia School of Journalism invites applications for a Lecturer position to complement the School’s core strengths in digital, international, environment and public policy journalism as listed on its website: http://journalism.ubc.ca/. This limited-term position is expected to be for two years, with an anticipated start date of July 1, 2016. The Lecturer appointment will be processed for an initial 12-month period, with renewal for one more year, subject to excellence in performance. The School offers concentrations in key areas of journalism, as well as academic specializations across disciplines. Candidates should demonstrate achievement of, or potential for, excellence in teaching in an integrated, collaborative and interdisciplinary environment.
The successful candidate will be expected to provide high quality journalism instruction, with a focus on digital storytelling formats and multimedia stories. Candidates should be prepared to teach students how to use digital tools for research, reporting, storytelling and audience engagement. A full-time 12-month Lecturer is expected to be responsible for 24 teaching credits (i.e., normally eight 3-credit courses) and related service duties that may include some administrative responsibilities normally undertaken by regular faculty members. It is expected that teaching assignments will be distributed across the 12-month period of appointment to include scheduling in the summer session, if possible. In some situations, a 3-credit teaching reduction may be granted where additional administrative responsibilities are assigned by the Director. Normal duties include those related to the design and teaching of university-level credit courses, including preparation and delivery of course content; development, administration and marking of assignments and final portfolios; calculation and submission of grades; graduate student supervision; and holding regular office hours. Primary teaching responsibilities will be in the Master of Journalism and in the Bachelor of Media Studies (BMS) programs. These high quality professionally oriented programs engage innovative and creative teaching practices and offer the chance to work with outstanding students. The Lecturer may also be assigned responsibilities in connection with the School’s offering in the Vancouver Summer Program.
The ideal candidate will:
• have professional experience of working in a newsroom as a reporter and/or editor, together with strong professional experience in producing stories for multiple platforms
• possess university-level experience in teaching multimedia journalism theory and practice
• exhibit strong digital journalism skills, including knowledge of digital content management systems such as Wordpress, mobile and multimedia production, and approaches to audience engagement
• demonstrate a commitment to a student-centred approach to teaching through inquiry-based and cooperative learning
• have proven experience of working collaboratively in a team in an open, experiential learning environment
• have capacity to innovate in technology-enriched and community-engaged educational settings
• demonstrate ability to function effectively in a university environment
A Master’s degree in Journalism, mass communications, or a related discipline is preferred; however, applicants with a Bachelor’s degree plus exceptional professional and teaching skills may also be considered.
This position is subject to final budgetary approval. Salary will be commensurate with qualifications and experience. The anticipated start date for this position is July 1, 2016.
Applicants should apply through the UBC faculty careers website at: www.facultycareers.ubc.ca/22495 and be prepared to submit their materials online by the deadline of February 15, 2016.
Applications must include:
• letter of interest
• curriculum vitae;
• statement of teaching philosophy
• evidence of teaching effectiveness
• names and e-mail addresses of at least three referees
In addition, applicants must arrange to have their referees submit their signed confidential letters of reference by the same deadline via email to karina.a...@ubc.ca. Review of applications will begin after February 15, 2016 and will continue until the position is filled.
Inquiries may be addressed to: Alfred Hermida, Director and Associate Professor, UBC School of Journalism at soj.di...@ubc.ca
UBC hires on the basis of merit and is committed to employment equity and diversity in its community. We especially welcome applications from members of visible minority groups, women, Aboriginal persons, persons with disabilities, persons of minority sexual orientations and gender identities, and others with the skills and knowledge to engage productively with diverse communities. We encourage all qualified persons to apply; however, Canadians and permanent residents of Canada will be given priority.
-alessandro acquisti
******************
The Heinz College at Carnegie Mellon University has one opening for a Post-Doctoral fellow and one or more openings for PhD students in projects focused on the economics or/and the behavioral economics of privacy.
Prospective candidates are expected to have done graduate work in (Post-Doctoral position), or be interested in studying (PhD positions), one or more of the following areas:
* Economics
* Behavioral Economics or Behavioral Decision Research
* Experimental Economics or Experimental Psychology
* Privacy
* Human Computer Interaction
Successful candidates will work in areas related to the economics or/and the behavioral economics of privacy, and collaborate with Professor Alessandro Acquisti. They may also interact with other members of CMU CBDR (Center for Behavioral and Decision Research) lab and of CMU PeeX (Privacy Economics Experiments) Lab, as well as with other CMU students and professors, in an interdisciplinary environment that includes social scientists and technologists. Successful candidates will be expected to conduct original research and publish their results in top-ranked journals and conferences.
Post-Doctoral opening: There is no deadline for applying to the Post-Doc opening, but applications will be considered on a rolling basis starting February 1, 2016, with an expected (but negotiable) starting date of Summer 2016 or Fall 2016. The Post-Doctoral position comes with very competitive salary and benefits. The initial appointment is for one year, with an option of renewal for another one or two years. Interested candidates should forward their resumes, along with the names of three references, to Alessandro Acquisti by email atacqu...@andrew.cmu.edu.
PhD openings: Interested candidates are encouraged to apply via http://www.heinz.cmu.edu/school-of-information-systems-and-management/doctoral-program/phd-ism/admissions/index.aspxas soon as possible, and no later than February 29, 2016. They are also encouraged to forward their resumes to Alessandro Acquisti by email at acqu...@andrew.cmu.edu. Accepted PhD applicants will receive a grant covering stipend and tuition for at least the first two years of their PhD program.
Related links:
"The Economics of Privacy," Acquisti, Taylor, and Wagman. Journal of Economic Literature, forthcoming, http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2580411
"Privacy and Human Behavior in the Age of Information," Acquisti, Brandimarte, and Loewenstein. Science, 2015, http://science.sciencemag.org/content/347/6221/509
Acquisti's site: http://www.heinz.cmu.edu/~acquisti/
Copy of this document: http://www.heinz.cmu.edu/~acquisti/economics-privacy-postdoc-cmu-2016.htm
******************
Alessandro Acquisti
Professor, Carnegie Mellon University
http://www.heinz.cmu.edu/~acquisti/
For the EU-funded project MOVING starting in April 2016, we seek to fill for the Knowledge Discovery group the following two positions:
one doctoral researcher (PhD student)
and
one Post-doctoral researcher (Post-Doc)
The positions are time-limited to 36 months. Time-limitation is based on the regulations of the German WissZeitVG (Gesetz über befristete Arbeitsverträge in der Wissenschaft).
Your tasks …
- Research and application of methods and algorithms in the area of Knowledge Discovery, Data Science and/or Semantic Web
- Active participation in the EU Projekt MOVING in the area of Text Mining and semantic Information Retrieval
http://www.zbw.eu/en/about-us/careers/job-offers/single-view/news/wissenschaftlicher-mitarbeiterin-und-wissenschaftlicher-postdoktorandin/
Got interested?
Apply now online or via email. We are looking forward receiving your convincing application papers. For inquiries about the open position please contact Prof. Dr. Ansgar Scherp (a.sc...@zbw.eu or a...@informatik.uni-kiel.de, Tel. +49 431 8814-443).
Please submit your convincing online application until February 17, 2016. You can submit your application here (for English version click on the button at the top-left):https://bewerbungen.zbw-kiel.de/?identifier=D3-01
CEB (Corporate Executive Board) is hiring a Search Engine Manager for our internal site search.
https://ceb.taleo.net/careersection/2/jobdetail.ftl?job=52841
Search Engine Manager-52841
Description
CEB is a best practice insight and technology company. In partnership with leading organizations around the globe, we develop innovative solutions to drive corporate performance. CEB equips leaders at more than 10,000 companies with the intelligence to effectively manage talent, customers, and operations. CEB is a trusted partner to 90% of the Fortune 500, nearly 75% of the Dow Jones Asian Titans, and more than 85% of the FTSE 100. More at cebglobal.com.
Known as an innovative growth firm, CEB is hiring experienced professionals and early careerists within a variety of intellectually stimulating careers. Learn more about our global opportunities at cebcareers.com.
CEB’s Digital Product & Innovation (DPI) group is responsible for management of the firm’s customer digital portfolio and has an immediate opening for a Search Engine Manager, which powers our customer-facing digital offering (e.g., websites, mobile app). The position reports to the Corporate Taxonomist.
The Search Engine Manager works closely with a wide range of stakeholders (e.g., research and editorial staff, customer communications teams, business leads, marketing, revenue operations, web publishers, UX team and engineering group) to leverage existing search engine capabilities, capture and define the requirements for new functionality, and support implementation and roll-out requirements of all system enhancements. The Search Engine Manager is responsible for enabling and overseeing the day-to-day use of the Search Engine and related services (e.g., search scorecard, tagging, indexing, text extraction, system performance, end-user experience, activity auditing and integrations with other key business systems). The Search Engine Manager will partner closely with Product Managers for the Content Management System, Social and Analytics to help scope/design/implement iterative releases for our Search Engine.
Responsibilities
Strategy, Execution and Governance
- Provide feedback into the multi-year roadmap for search
- Monitor search usage logs and enhance search relevancy through management of search dictionaries
- Work closely with product managers and research teams on new or improved functionalities to enhance the quality of search results and simplify and improve the overall user experience
- Identify opportunities to improve content creation and tagging processes to ensure the highest quality search experience
- Translate business needs into requirements and ensure proper translation of business requirements into technical requirements for engineering teams
Project Management and Technical Management
- Actively contribute in technical and research product design conversations with senior technical leads
- Participate in any necessary project management, time estimates, and resource scheduling; own these activities and related documentation as required
- Participate in roll-out of new functionality, including launch testing
Stakeholder Management
- Collaborate with stakeholders to drive adoption and use of the search engine
- Ensure the use of and push for best practices and recommend changes to optimize the current operations
- Manage administrative functions/configurations within search engine, including auditing and reporting and transactional activities
- Collaborate with research partners to deliver on ad-hoc requests such as member utilization reports to assist them with e-learning/newsletter strategy
Qualifications
- BA/BS, Preferred in Information Science, Engineering or CS; MBA or related-Master’s degree a plus
- 4+ years’ experience in customer-facing web site management, digital user experience
- Demonstrated experience of applying key search concepts: meta-data tagging, stemming and lemmatization, keyword density, synonym dictionaries, spell checking, search scorecards, relevancy scoring and algorithm tuning
- Direct experience with internal site search engines (e.g., SOLR, Lucene, Endica, FAST); not third-party search engines, such as Google and Bing
- Demonstrable familiarity and ability with web analytics tools (e.g., Adobe SiteCatalyst, Google Analytics, NetInsights, WebMaster Tools) and ability to manipulate large data sets
- Experience w/ XML and Excel macros a plus
- Self-driven, proactive and dedicated; able to operate autonomously and efficiently in an entrepreneurial setting
- Data-driven approach to problem-solving
Open PhD position at the DWS Group, University of Mannheim (Germany)
ONE PHD STUDENT IN STATISTICAL NLP / ONTOLOGY LEARNING / INFORMATION EXTRACTION / MACHINE LEARNING
We are looking for a highly motivated candidate to conduct research in the areas of text mining and information retrieval. The candidate should have a strong background in one or several of the following areas:
- statistical semantic processing
- machine learning and knowledge acquisition
- ontology learning and population
- distributed large-scale processing
Candidates should have a Masters degree in Computer Science, Natural Language Processing, Semantic Web or Machine Learning. The student will be located at the Data and Web Science Group (DWS) of the University of Mannheim, one of leading centers for Data Science in Germany (more information can be found at http://dws.informatik.uni-mannheim.de/).
Duration: initially one year (starting in Spring 2016) with possible extension of 2-4 years.
Salary range: according to German public scale TV-L 13 100% (full time, commensurate with experience and qualifications).
Applications can be made per e-mail (wifo3...@informatik.uni-mannheim.de) and should include a short research statement, CV, copy of university degrees and transcripts and - if available - a copy of the master thesis, as well as list of publications and published software. All documents should be e-mailed as a single PDF. All applications sent before February, 15 2016 will receive full consideration. The position remains open until filled.
The University of Mannheim is committed to increase the percentage of female scientists and encourages female applicants to apply. Among candidates of equal aptitude and qualifications, a person with disabilities will be given preference. Please contact Simone Paolo Ponzetto (simone(At)informatik(DoT)uni-mannheim(DoT)de) for informal enquiries.
--
Simone Paolo Ponzetto
Data and Web Science Group
University of Mannheim, Germany
http://dws.informatik.uni-mannheim.de/~ponzetto
Tel: +49 621 181 2647
Dear colleagues,
I have recently obtained funding to study spatial foraging networks in bees in Toulouse. I am looking to hire a postdoctoral research associate and I would be grateful if you could pass along this email to potential candidates, and to relevant colleagues.
Thanks!
Mathieu
—
Dr Mathieu Lihoreau
CNRS I Research Center on Animal Cognition
Center for Integrative Biology
University of Toulouse, France
Office: +33 5 61 55 64 71 I Mobile: +33 6 33 43 57 06
Email: mathieu....@univ-tlse3.fr
############
Postdoc: Network analyses of pollinator movements, University of Toulouse
Our lab seeks a postdoc in the field of spatial ecology to study bee foraging movements. In the lab, bees tend to establish routes minimizing travel distances between feeding sites, an optimisation problem analogous to the Travelling Salesman Problem. We are aiming at understanding how these spatial networks develop over the long-term in field realistic conditions where multiple individuals interact to collect heterogeneous resources. Network analyses and simulations models will be used to generate hypotheses to be tested in semi field setups (automated tracking, computer controlled feeders, etc.).
Job profile:
A 18 months IDEX funded position is available at the new Centre for Integrative Biology of Toulouse (http://cbi-toulouse.fr/eng/). Start date May - July 2016. Salary ? 33638 per year.
The lab is especially interested in developing network analyses to study pollinator movements. The postdoc will be encouraged to develop independent projects along this line with the possibility to generate his/her own behavioural datasets or making use of data collected in the lab or by collaborators. The postdoc will have interactions with partners working on network analyses (Raphael Jeanson) and plant ecology (Christophe Andalo).
Required qualifications:
Ph.D. or equivalent degree in bioinformatics, behaviour, ecology or related field. Publication of work based on dissertation. Working knowledge of bioinformatics pipelines and analyses on large datasets. Proficiency in scripting language (e.g. R, Matlab) and depth in some area of network analyses or spatial ecology. Prior experience in working with insects is preferred but not required.
Application:
To apply please submit a cover letter describing your relevant experience and interest, a CV, the contact information for two references, and 1-2 relevant publications to Mathieu Lihoreau (mathieu....@univ-tlse3.fr). Initial review of applications will begin on February 15, 2016. Applications will be reviewed every week until the search is closed.
Please feel free to contact us at the above email address with any questions.
Two Jobs in Computational Economics
From: Tommaso Ciarli, t.ci...@sussex.ac.uk
Dear all,
we are urgently looking for an excellent applied economist to work as an
early career researcher (Phd submitted not earlier than January 2011) on a
ESRC project studying the relation between firm innovation dynamics,
employment and inequality. Experience with spatial econometrics is
desirable. The project will last 18 months and the position is fully
funded. We expect the researcher to start in early Spring.
It is urgent, so if you have any suitable candidate, please let us know to
both myself and Maria (M.Sa...@sussex.ac.uk). If you know of any
potential candidate, we would be grateful if you could send
names/website/email.
Details of the project are available here:
http://www.sussex.ac.uk/spru/newsandevents/2015h/awards/technicalchange
There are huge opportunities for careerer development in this
project/position. The researcher is expected to co-author four papers with
us, will also collaborate with the Young Foundation, will have plenty
travelling funds for conferences, and will have the opportunity to attend
at least two summer schools in econometrics as part of his career
development.
If you have any further question on the profile/project please let us
know.
-----------------------------------------------------------------------------------
The Post Doc would be working with Professor Doyne Farmer at the
Complexity Economics programme within the Institute for New Economic
Thinking. If you need or want any more clarifying details, please don’t
hesitate to contact me.
Best regards,
Clarissa Sweet
PA to Professor Doyne Farmer
Complexity Economics
Institute for New Economic Thinking
Eagle House
University of Oxford
Walton Well Road
Oxford OX2 6ED
https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.display_form
Postdoctoral Research Assistant for Agent-based Modelling Project
Mathematical Institute, Andrew Wiles Building, Radcliffe Observatory
Quarter, Woodstock Road, Oxford
Grade 7: £30,738 - £37,768 p.a.
Applications are invited for a 24 month postdoctoral research assistant
for an agent-based modelling project in collaboration with Professor Doyne
Farmer and the INET research team. The post is available from 1 April 2016
or as soon as possible thereafter. The successful candidate will be based
in the Institute for New Economic Thinking and is funded by Amlin.
The successful applicant will take a leading role in developing
agent-based models in economics, including models relevant to the
insurance industry. The applicant is expected to take a leading role in
both the code development and in coordinating the underlying science
associated with it.
With a PhD awarded, or a Masters degree and PhD submitted (at the time of
taking up the position) in mathematics or a related discipline, you will
have significant prior programming experience, experience with, or strong
interest in, agent-based modelling, and the ability to work independently.
Please direct informal enquiries to the Administrative Assistant quoting
vacancy reference 121606.
Applicants should read the job description document before writing their
application. You will be required to upload a letter setting out how you
meet the selection criteria, a curriculum vitae including full list of
publications, a statement of research interests indicating how these fit
in with the project and the contact details of two referees as part of
your online application.
Only applications received before 12.00 noon on Monday 08 February 2016
can be considered.
-----------------------------------------------------------------------------------
--
Bill Goffe
Senior Lecturer
Department of Economics
Penn State University
304 Kern Building
University Park, PA 16802
814-867-3299
bill....@psu.edu
http://cook.rfe.org/
PhD/Postdoctoral Position in Natural Language Processing, Heidelberg University, Germany
The Institute for Computational Linguistics (ICL) at Heidelberg
University, Germany, is looking for a PhD student or Postdoc position
in the group of Prof. Dr. Katja Markert (to be established from
1.4.2016). Your research interests should be in empirical,
data-driven Natural Language Processing in the areas of
semantics, pragmatics or discourse, or NLP applications such as
timeline summarization, entity linking and Wikipedia enrichment.
This is a full-time university position, with an initial period of
appointment of two years with the possibility of extension of a
further 2 years. The position involves independent research and
teaching (4 SWS per week during the semester). The position is at the
rank of Wissenschaftlicher Mitarbeiter (German scale TV-L E13 100%),
for which salary before tax ranges from around 44,000 to around 63,000
Euros, dependent on prior relevant work experience and marital status.
The position will start at 1. April 2016.
Requirements:
--- an excellent Master's (or equivalent) degree in Computational Linguistics,
Computer Science or a related field. For postdoctoral applications a
very good PhD.
--- a thorough grounding in at least one of the following: empirical NLP,
machine learning, big data, IR
--- good programming skills in at least one of Python, Java, Perl, C family
---an excellent knowledge of English. Knowledge of German is not an absolute
prerequisite but would be strongly preferred.
--- Ability to work in a team, openness, flexibility as well as the ability to work independently
--- (for postdoctoral applicants) several high quality publications in
NLP (semantics/pragmatics/discourse or NLP applications), IR or
Machine Learning.
Please forward your electronic application (pdf format only) including
CV, electronic copies of university transcripts, and
(for postdoctoral applications only) the electronic version
of a representative research paper to
Katja Markert, email mar...@cl.uni-heidelberg.de, with the subject line
"Application MA1 from X". For any questions email the same adress.
Applications received by January 21, 2016
will receive full consideration, although interviews may start
at any time and will continue until the position has been filled.
As an equal opportunity employer, the
University of Heidelberg actively encourages applications from women.
Preference will be given to disabled applicants with equal
qualifications.
lingfei wu
several Lecturer/Reader positions (roughly the equivalent of
Assistant/Associate Professor) in the following areas:
o Natural Language Processing
o Multimedia/Multimodal Information Retrieval, including research
integrating textual and visual processing, or analysis of big data
comprising text or speech and other information sources.
o Design Informatics and Visualization
o Image and Vision Computing
o Robotics
For further details, application deadlines, and links to the online
applications, please see:
http://www.ed.ac.uk/informatics/news-events/recentnews/recruiting-lecturers-readers
--
The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.
PhD fellowship in Recommender Systems
Laboratory: IRIT (http://www.irit.fr/)
Team: SIG (Generalized Information Systems)
Paul Sabatier University - Toulouse - France
Supervisor’s Name: Max Chevalier (Max.Ch...@irit.fr - http://www.irit.fr/~Max.Chevalier)
SIG Team (https://www.irit.fr/-Equipe-SIG-) is likely to get a PhD scholarship for 3 years (Doctoral School MITT, http://www.edmitt.ups-tlse.fr/).
PhD Subject: Information Gathering and Integration in Large-Scale Recommender Systems
Scientific context:
Recommender Systems aim at recommending some objects (jobs, TV programs, films, blog articles...) that are suitable to end-users. Recommendations are generally based on users' similarities and their past behaviors and are widely used in various domains.
In Recommender Systems, an important challenge relies on information gathering and integration. Indeed, the characteristics of the available data, particularly in large-scale environments, implies that user modelling and the recommendation decision have to be designed to be more adapted to this context.
The objective of this PhD is to study and to take into account in recommender systems the many dimensions of the avalaible data such as its dynamicity, its sparsity, its source or the amount of data to identify strategies aiming at allow a Recommender System to be suitable for a large-scale context. The main challenge is to keep a high level of recommendation quality although keeping a high answer speed.
Requirements:
Information Systems, Learning Models, Database Systems, Statistics, Hadoop, MapReduce, Spark, Programming Languages (C#, Java, web languages...).
Application:
The fellowship attribution is based on a two step process:
> First the candidate has to be selected by SIG team,
> then, he/she will defend his/her Phd fellowship at the MITT school committee. The fellowships will be attributed after this last step if selected.
The application should include following documents (PDF format):
1- CV mentioning all your degrees
2- Motivation letter from the applicant explaining his/her choice of the proposed thesis subject
3- Recommendation letters
4- Details of your grades since you started higher education with ranking (important).
Applications in digital form (pdf) should be sent to: Max.Ch...@irit.fr
Application Deadline: march 15th, 2016
Start Date: September 1st, 2016.
Monthly Remuneration: approximatively 1684 Euros (Gross).
Research Associate in Text Mining and Information Retrieval for EU project Moving
For the EU-funded project MOVING starting in April, 2016, we are seeking to fill the position of a research associate in Text Mining and Information Retrieval, at GESIS (Cologne). Please apply by March 04, 2016. More detailed information about the open position can be obtained here: http://www.gesis.org/fileadmin/upload/institut/stellenangebote/Ausschreibung_Moving1.pdf
Kind regards,
Peter Mutschke
--
Acting Head of Department
Dep. Knowledge Technologies for the Social Sciences
GESIS – Leibniz Institute for the Social Sciences
Unter Sachsenhausen 6-8
D-50667 Köln
Tel.: +49(0)221 / 47694 -500
Mail: peter.m...@gesis.org
Fully-funded PhD: Migrants’ heritage and its management in local cultural institutions (deadline 18 March 2016)
Fully-funded PhD: Migrants’ heritage and its management in local cultural institutions (deadline 18 March 2016)
https://www.findaphd.com/search/ProjectDetails.aspx?PJID=72964&LID=2712
This interdisciplinary project will explore how local cultural institutions (museums, libraries, and archives) can better prepare themselves to embed and manage migrants' cultural heritage in the digital age.
Migrating heritage is a feature of our globalised world, characterized by emerging challenges of social inclusion and new roles for cultural institutions (Innocenti, 2015). Communication and information technologies are changing the dynamics and scope of memory construction, display and understanding in a networked society (Castells, 2010). In this context a number of issues associated with cultural heritage information systems and services are yet to be adequately addressed, for example in relation to content organization and access, users outreach and sustainability (Ruthven and Chowdhury 2015). This opens the possibility for local cultural institutions to gain a greater understanding of migrants’ individual and community needs in relation to their services, address shortfalls in collections, and contribute to cultural citizenship (Delanty 2007).
Project objectives includes:
* Exploring novel methods and tools to embed, manage, access and re‐use migrant’s tangible and intangible heritage in local cultural institutions collections and services;
* Investigating information seeking behaviours, perceptions and attitudes of migrants and minority groups in relation to local cultural institutions;
* Enhancing current social inclusion practices in local cultural institutions.
The PGR student will work with local institutions so that impact measures can be developed.
The PGR student will join the vibrant research environment of the iSchool at University of Northumbria, Department of Mathematics and Information Sciences, (https://www.northumbria.ac.uk/about-us/academic-departments/mathematics-and-information-sciences/ ), part of the iSchools organization worldwide (http://ischools.org/) dedicated to advancing the information field. Northumbria iSchool explores innovative ways and contexts in which digital information is used, created, managed, preserved. The PGR student will also have access to the new cutting-edge iLab for Web and mobile usability studies, data analytics, and internet of things.
Funding Notes
The studentship includes a full stipend, paid for three years at RCUK rates (in 2016/17 this is £14,296 pa) and fees (Home/EU £4,350 / International £13,000).
Eligibility and How to Apply
Please note eligibility requirement:
• academic excellence i.e. 2:1 (or equivalent GPA from non-UK universities [preference for 1st class honours]); or a Masters with distinction.
• Appropriate IELTS score, if required.
For further details of how to apply, entry requirements and the application form, seehttps://www.northumbria.ac.uk/research/postgraduate-research-degrees/how-to-apply/.
Please ensure you quote the advert reference RDF16/MIS/INNOCENTI on your application form.
For a full text of some of the references listed in this advert: https://univerityofnorthumbria.academia.edu/PerlaInnocenti
--------------------------------------------------------------------------------------------
Dr Perla Innocenti
Senior Lecturer in Information Science
Department of Mathematics & Information Sciences
Northumbria University
Room 020, Pandon Building
Camden Street, Newcastle upon Tyne, NE2 1XE, UK
E: perla.i...@northumbria.ac.uk
T: +44 (0)191 349 5933
W: https://www.northumbria.ac.uk/about-us/our-staff/i/perla-innocenti/
ASIS&T 2016 Annual Meeting
Copenhagen, Denmark | Oct. 14-18, 2016
Creating Knowledge, Enhancing Lives through Information & Technology
PhD in argumentation and decision making at Montpellier
PhD in argumentation and decision making at Montpellier
The position is within the INRIA GraphIK research group. GraphIK (Graphs for Inferences on Knowledge) is a joint team between INRIA (Sophia Antipolis Méditerranée center), the University of Montpellier, CNRS and INRA: https://team.inria.fr/graphik/. More information about Montpellier here: http://www.montpellier-france.com/.
Project description:
The topic is within the general area of knowledge representation and reasoning with inconsistent knowledge and argumentation.The research focus of the thesis will be centered around the further exploration of argumentation semantics for decision making.
For example, as opposed to classical semantics in argumentation where an argument is killed by an attack, ranking semantics simply weaken the position of the argument. However many open questions still remain: how this impacts decision making when using argumentation? How to explain ranking semantics outputs to the user? etc. The candidate will explore formal properties of such semantics and their suitability in real world applications involving decision making and reasoning under inconsistency with existential rules. An important theoretical knowledge representation background is required. Implementation skills are a plus. The argumentation ranking semantics developped in the thesis will be evaluated in a real world application in the framework of the H2020 European project NoAW (No Agro-Waste: Innovative approaches to turn agricultural waste into ecological and economic assets, 2016-2019).
The PhD student candidate has to proficient in written and oral English.Deadline of Application: 15th April 2016. Start date: October 2016. Duration: 3 years.
Postdoc in NLP and Machine Learning at the University College London
Meliha Yetisgen, PhD
Associate Professor, Biomedical & Health Informatics
Adjunct Associate Professor, Department of Linguistics
University of Washington
Office: 206-685-8224
Email: mel...@uw.edu
www: http://faculty.washington.edu/melihay/
UW-BioNLP: http://depts.washington.edu/bionlp/
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A postdoc position is available at INRIA team GraphIK (https://team.inria.fr/graphik/) starting November 1, 2016.
Topic: Ontology-mediated query answering with description logics and/or existential rules.
Full details on the position and application procedure can be found here:
The Beyond Center for Fundamental Concepts in Science, the School of Life Sciences, and the School of Computing, Informatics, and Decision Systems Engineering are currently recruiting applications for a postdoctoral research position investigating mechanisms of emergent computation in collective-decision making by eusocial insects.
I have attached the full advertisement, please distribute to anyone that may be interested in the position.
Thank you!! J
Jeanette Perez
Manager, Beyond Center for Fundamental Concepts in Science
Arizona State University | P.O. Box 871504 | Tempe, Arizona 85287
480.965.3240 | Cell: 602.803.8621 | Fax: 480.965.6362 | mailto: per...@asu.edu
ASU College of Liberal Arts and Sciences — Transforming learning, discovery and lives
Job opening: PhD student - bibliometrics of social sciences and humanities
Dear colleagues,
(Apologies for cross-posting)
The Centre for Research & Development Monitoring (ECOOM) University of Antwerp is looking for a full-time (100%) PhD student in the domain bibliometrics of social sciences and humanities.Please see https://www.uantwerpen.be/en/jobs/vacancies/ap/2016bapfswef034/ for all details. Closing date: 1 March 2016.
Feel free to pass this on to any suitable candidates.
Best regards,
Raf Guns