Tenure Track Professor (W2) in Machine Learning

 
Published
WorkplaceSaarbrücken, Saarland, Germany
Category
Position
www

.uni-saarland.de

Saarland University is a campus-

based university with a strong

international focus and an

impressive research-oriented

profile.

Numerous research institutes on campus and the systematic promotion of collaborative projects make Saarland University an ideal environment for innovation and technology transfer.
Internationally renowned for its excellence, computer science is one of the core . With its 800 researchers and more than 2000 students from 81 countries, the Saarland Informatics Campus (SIC) belongs to one of the leading . All areas of computer science are covered at five globally renowned research institutes and three collaborating university departments that offer a total of 24 academic programmes.
To further strengthen this excellence in research and teaching, the Department for Computer Science seeks to hire a

Tenure Track Professor (W2) in Machine Learning (m/f/x; Reference:
W2153)

Six-year tenure track position with the possibility of promotion to a permanent . We are looking for a highly motivated young researcher in the field of Machine Learning, .

What we can offer you:

Tenure track professors (W2) have faculty status at Saarland University, including the . The successful candidate will focus on carrying out world-class research, will lead their own research group and will . Tenure track professors (W2) with outstanding . 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 candidates working on cutting-edge research topics and more than 60% of our Master’s students coming from abroad (see ?url=https%3A%2F%2Fsaarland-informatics-campus.de%2F&module=jobs&id=177597" target="_blank" rel="nofollow">?url=https%3A%2F%2Fsaarland-informatics-campus.de%2F&module=jobs&id=177597" target="_blank" rel="nofollow">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, . 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 applicationand transfer- . 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 .

Qualifications:

The appointment will be made in accordance with the general provisions of German public . Applicants must have a university degree in a corresponding or . 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.
The successful candidate will be expected to actively contribute to departmental research . The teaching language . We expect the successful candidate to have acquired sufficient proficiency in German after an appropriate period.

Your application:

Applications must be submitted online at

www.uni-saarland.de/berufungen.
No additional . 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 . Please contact applysaarland-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 . Members of the university’s professorial staff are therefore . Special support will be provided for projects that continue with or expand on collaborative .g. projects with partners .transform4europe.eu) or the University of the Greater Region (?url=www.uni-gr.eu&module=jobs&id=177597" target="_blank" rel="nofollow">?url=www.uni-gr.eu&module=jobs&id=177597" target="_blank" rel="nofollow">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 . Qualified women candidates are therefore strongly encouraged to apply. Preferential consideration will be given to applications from disabled candidates of equal . When you submit a job application to Saarland University you will be transmitting . Please refer to our privacy notice (?url=https%3A%2F%2Fwww.uni-saarland.de%2Fverwaltung%2Fdatenschutz%2F&module=jobs&id=177597" target="_blank" rel="nofollow">?url=https%3A%2F%2Fwww.uni-saarland.de%2Fverwaltung%2Fdatenschutz%2F&module=jobs&id=177597" target="_blank" rel="nofollow">www.uni-saarland.de/verwaltung/datenschutz/) for information on how we collect and process personal data in accordance with Art.
13 of the General Data Protection Regulation (GDPR). By submitting your application, you confirm that you have taken note of the information in the Saarland .
In your application, please refer to myScience.de and reference JobID 177597.


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