Saarland University (UdS) is seeking to hire a Tenure Track Professor (W2) in machine learning with a six-year tenure track to a permanent professorship (W3).
We are looking for highly motivated young researchers in the field of Machine Learning with a research focus in any subfield of Machine Learning (ML)
What we offer you:
Tenure track professors (W2) have faculty status at Saarland University, including the right to supervise Bachelor’s, Master’s and PhD students. The successful candidate will focus on carrying out world-class research, will lead their own research group and will have a significantly reduced teaching load. Tenure track professors (W2) with outstanding performance will receive tenure as a full professor (W3). Decisions on tenure are made no later than six years after taking up the tenure track position.
The position offers excellent working conditions in a lively scientific community, embedded in the vibrant and international research environment of the Saarland Informatics Campus: Saarland University has leading departments in computer science and computational linguistics, with more than 350 PhD students working on cutting-edge research topics and more than 60% of our Master‘s students coming from abroad (see https://saarland- informatics-campus.de/
for additional information). We collaborate closely with a number of internationally renowned state-of-the-art research institutes in informatics: the Max Planck Institute for Informatics, the Max Planck Institute for Software Systems, the German Research Center for Artificial Intelligence (DFKI), the Center for Bioinformatics, and the CISPA Helmholtz Center for Information Security. ML is already a strong research topic in Saarbrücken, with several internationally renowned research groups at the Max Planck Institutes for Informatics and for Software Systems, at CISPA, and at the Department of Computer Science itself, as well as a strong application- and transfer-oriented research focus at the DFKI. This offers manifold opportunities for collaborative research, along with internationally renowned research groups in related fields such as formal methods, algorithms, visual computing, bioinformatics, computational linguistics, etc. With the present opening, and with the subsequent opening for a full professorship in ML, the department seeks to strengthen its ML focus as part of the active and growing ML landscape in Saarbrücken.
The appointment will be made in accordance with the general provisions of German public sector employment law. Applicants must have a university degree in a corresponding or related field and an excellent PhD or doctoral degree. They will typically have completed a period of postdoctoral research and have teaching experience at university level. They must have demonstrated outstanding research capabilities and have the potential to successfully lead their own research group.
Applications must be submitted online at www.uni-saarland.de/berufungen
. No additional paper copy is required.
The application must contain:
- a cover letter and curriculum vitae (including phone number and email address)
- a full list of publications
- your proposed research plan (2–5 pages)
- copies of your degree certificates
- full-text copies of your five most important publications
- a list of 3-5 academic referees (including email addresses), at least one of whom must be a person who is outside the group of your current or former supervisors or colleagues.
Applications must be received no later than 28 September 2022.
Please include the job reference number W2153 when you apply. Selected candidates will be interviewed in October/November 2022. Please contact ap...@saarland-informatics-campus.de
if you have any questions.
Saarland University regards internationalization as an institution-wide process spanning all aspects of university life and it therefore encourages applications that align with its internationalization strategy. Members of the university‘s professorial staff are therefore expected to engage in activities that promote and foster further internationalization. Special support will be provided for projects that continue with or expand on collaborative interactions within existing international cooperative networks, e.g. projects with partners in the European University Alliance Transform4Europe (www.transform4europe.eu
) or the University of the Greater Region (www.uni-gr.eu
Saarland University is an equal opportunity employer. In accordance with its affirmative action policy, Saarland University is actively seeking to increase the proportion of women in this field. Qualified women candidates are therefore strongly encouraged to apply. Preferential consideration will be given to applications from disabled candidates of equal eligibility.
You can also find all relevant information here: https://www.uni-saarland.de/fileadmin/upload/verwaltung/stellen/Wissenschaftler/W2153_W2TTW3-Professur_für_Machine_Learning.pdf
In case of questions do not hesitate to contact me personally