Multiple ML and AI Postdoc Opportunities at Northwestern University Feinberg School of Medicine

[Yuan Luo]

We are recruiting multiple postdoctoral fellows in the Division of Health and Biomedical Informatics at Northwestern University’s Feinberg School of Medicine. The postdoctoral fellow is expected to conduct research under guidance from Dr. Yuan Luo, Associate Professor and Chief AI Scientist, Northwestern University Clinical and Translational Sciences Institute. Our group website: https://labs.feinberg.northwestern.edu/lyg/. The fellow will also have the opportunities to work closely with top-notch clinicians from Northwestern Memorial Hospital, and strong supporting staff from Northwestern Medicine Enterprise Data Warehouse Team.

The successful candidate will have PhD in EECS, Biomedical Informatics, IEMS, Physics or related fields with solid programming skills. Experiences in some of the following areas are desirable: Machine Learning (ML)  and/or Natural Language Processing (NLP) and/or time series analysis and/or -omic analysis. The candidate should demonstrate good communication skills and ability to work in a collaborative environment, to coordinate and supervise part of the research project. 

We offer a competitive salary and an initial appointment of 12 months, starting 2019/2020. Extension of the postdoctoral position for up to 3 years is possible. Northwestern University is an exceptional research institution that has a world-class medical school and is an emerging hub in biomedical informatics; our department is located in downtown Chicago, one of the most vibrant cities in the US. Be part of a prestigious institution that offers great benefits, and enjoy our lakefront working environment.

Please send your application to Yuan Luo <yuan.luo@northwestern.edu>, which should include:
-          Curriculum vitae
-          List of publications (attach a copy of one of your strongest papers)
-          Contact details for 2 to 3 references

Northwestern University is an Equal Opportunity/Affirmative Action Employer.

[Dhireesha Kudithipudi]

An Opening for a Postdoctoral Researcher 

If you are a researcher or practitioner in the field of machine learning and are interested in working on cutting-edge neurally inspired machine learning algorithms and systems, please consider applying for the following position: 

 

We are seeking an exceptional postdoc to join the Neuromorphic AI Lab at the University of Texas-San Antonio. At the Neuromorphic AI Lab, we work on brain-inspired AI algorithms and systems, neuromorphic computing, AI accelerators, energy-efficient machine intelligence, and use-inspired AI. The postdoctoral researcher will contribute to our research effort towards designing lifelong learning networks in the spiking domain, as part of two funded research efforts with DoD. 

 

The project will involve developing deep spiking algorithms that advance the state of the art in performance for complex spatial-temporal tasks. The goal is to further advance our approaches that are capable of utilizing neural plasticity, lifelong learning, and hybrid CNN-Neural models. A broad range of approaches are applicable, and the focus will be decided according to the background and aims of the successful candidate. The scholar will work closely with interdisciplinary portfolio of researchers, such as neuroscientists, computer architects, engineers, and cognitive scientists to design, deploy and evaluate the models. Successful candidate will also be part of a vibrant and rapidly growing AI community at UTSA and will have access to several mentors and collaborators in the new AI Consortium at UTSA. 

 

Requirements: 

- PhD/DPhil (or near completion) in computer science, electrical and computer engineering, machine learning, artificial intelligence, computational neuroscience or related field. 

- Excellent academic track record in topics relevant to - machine learning or related areas. 

- Excellent programming skills. 

- Outstanding communication and presentation skills with fluency in spoken and written English 

- Established record of distinguished scholarly achievement 

- Highly motivated and enjoys working in a collaborative research environment 

 

Key Responsibilities: 

--Develop neural network algorithms and software models using different programming languages. 

-Present regular progress reports on research to members of the project and to external audiences. 

-Publications to disseminate and share research findings in reputed conference and journal venues. 

- Support in the preparation of grant proposals and funding activities. 

-Carry out routine administrative tasks associated with the research (meetings and documentation) to ensure that tasks are completed on time and within budget. 

-Contribute to and enhance the research activity of the Nueromorphic AI Lab through interaction with graduates and external collaborators. 

-Help update and maintain a project website and other electronic vehicles for communication of the project outputs.

 

 

The position is funded for up to 3 years with competitive salary and benefits. The starting date is flexible, with a preference to start in early Spring 2019. Applications will be considered until the position is filled. Please check some of our research activities at https://www.rit.edu/kgcoe/neuro/. Our new lab website is currently being developed. 

 

To apply, please send your detailed CV (including the contact information of two references) and a one-page research statement, discussing how your background fits the requirements and topic to Dr. Dhireesha Kudithipudi, d...@utsa.edu