Connectionists: Four professorships for Data Science (W3) and Artificial Intelligence/Machine Learning (W3, W2 t.t. W3)

Tue May 15 09:37:29 EDT 2018

We would like to announce the following 4 professorships at the 
University of Goettingen (Germany):
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The Faculty of Mathematics and Computer Science at the 
Georg-August-University of Göttingen invites applications for the 
position of four professorships at the Institute of Computer Science in 
the context of the establishment of a

Campus Institute Data Science.

The newly established professors will participate in the development of 
the Campus Institute Data Science (CIDAS). CIDAS will be a joint 
institution of the members of the Göttingen Campus including the 
University, the University Medical Center, five Max-Planck-Institutes, 
the Leibniz Institute for Primate Research, the Academy of Sciences and 
the German Aerospace Center Göttingen. The members of CIDAS will pursue 
research at the convergence point of computer science, statistics, 
mathematics and application areas and will combine method development in 
the field of Data Science with cutting edge research in Göttingen’s 
research foci.
The future position holder shall have worked already successfully in 
research networks. We especially expect candidates to be willing to 
cooperate with colleagues in the Faculty of Mathematics and Computer 
Science as well as from other Faculties and Campus institutions. The 
candidates’ research interests should ideally align with one or several 
of Göttingen University’s research foci 
(https://www.uni-goettingen.de/en/505395.html).

The appointed professors will conduct their teaching in the study 
programmes of the Faculty, in particular in the Bachelor’s programmes 
”Applied Data Science” and ”Mathematical Data Science” and in the 
Bachelor and Master programme ”Applied Computer Science”.
Conditions for appointment can be found in Section 25 of the Higher 
Education Law of Lower Saxony. As a Public Law Foundation, the 
University of Göttingen has the right to appoint professors. Further 
details can be obtained upon request.

Two positions of full professor (W3) for Data Science
The future position holder shall have expertise in computer science, 
especially related to the field of Data Science method development in 
one or several of the following areas: Computer Vision and Imaging, Data 
Fusion / Data Merging, Data Management, Big Data, Graph and Network 
Optimization and Modeling, Natural Language Processing. Candidates shall 
have a track record of high level research in these fields, have high 
potential for groundbreaking research in internationally visible 
research projects along with profound experience in mentoring and 
advising university students. Göttingen University is committed to 
research oriented teaching.
https://s-lotus.gwdg.de/uni/umin/w3_data_science_2018.nsf/application

Full professor (W3) for Artificial Intelligence / Machine Learning
The future position holder shall have expertise in artificial 
intelligence, especially with a focus on machine learning or on 
foundations of machine learning. The University of Göttingen aims to 
establish machine learning as research area by recruitments in its 
fields of application as well as in theoretical foundations. Candidates 
shall have a track record of high level research in artificial 
intelligence, in particular machine learning, have high potential for 
groundbreaking research in internationally visible research projects 
along with profound experience in mentoring and advising university 
students. Göttingen University is committed to research oriented teaching.
https://s-lotus.gwdg.de/uni/umin/w3_machine_learning_2018.nsf/application

Associate Professor (Tenure Track) (W2 t.t. W3) for Artificial 
Intelligence / Machine Learning
This professorship is funded by the German Federal and State governments 
through the programme “Bund-Länder-Programm zur Förderung des 
wissenschaftlichen Nachwuchses (Nachwuchspakt)”. The initial appointment 
will be limited to five years. The transition to the permanent position 
of Full Professor (W3) takes effect following a successful evaluation.
Preferably, the candidate has expertise in artificial intelligence, 
especially with a focus on machine learning or on foundations of machine 
learning. The University of Göttingen aims to establish machine learning 
as research area by recruitments in its fields of application as well as 
in theoretical foundations. The future position holder shall have a 
track record of high level research in artificial intelligence, in 
particular machine learning, have high potential for groundbreaking 
research in internationally visible research projects along with 
profound experience in mentoring and advising university students. 
Göttingen University is committed to research oriented teaching.
https://s-lotus.gwdg.de/uni/umin/w2_machine_learning_2018.nsf/application

Applications of international scientists are highly encouraged. The 
University is an equal opportunity and family friendly employer. We 
specifically encourage women to apply. Disabled persons with appropriate 
qualifications and aptitude for the position will be given special 
consideration.
For further information please contact Prof. Dr. Dieter Hogrefe, 
Institute of Computer Science, hogrefe at informatik.uni-goettingen.de.
Applications including CV, publications list and details of teaching and 
research experience including funded research projects should be 
submitted by June 15th, 2018, online via the application portals stated 
above.
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Kind regards,
Carmen Scherbaum
-- 
Carmen Scherbaum de Huamán
Georg-August-Universität Göttingen
Institut für Informatik
Lehrstuhl für Telematik (Prof. Hogrefe)
Goldschmidtstr. 7 (Raum 1.109)
37077 Göttingen, Germany
Tel. +49 551 39-172000
Fax  +49 551 39-14403
http://www.ifi.informatik.uni-goettingen.de

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