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Associate Professor (tenure track for Full Professor) (f/m) in Computer Science with a focus on Machine Learning
University of Luxembourg
The University of Luxembourg is a multilingual, international research University.
The Faculty of Science, Technology, and Communications (FSTC) of the University of Luxembourg (UL) has an opening for an
Associate Professor (tenure track for Full Professor) (M/F)
in Computer Science with a focus on Machine Learning.
The position is anchored within the Computer Science and Communications Research Unit (CSC).
Ref: F1-50011608 (to be mentioned in all correspondence)
Full-time position (40 hrs/week)
Earliest starting date: Jan 2020
Fixed-term contract: 5 years, upon a positive evaluation, perspective of a permanent position may be foreseen.
The position at the Associate Professor level follows Luxembourg's tenure-track scheme according to which the initial appointment is a fixed-term contract. Upon successful evaluation, the candidate will be offered a permanent position as a Full Professor.
To diversify the existing skills and expertise within CSC, the candidate is expected to:
Collaborate across the various research units within the FSTC (such as Mathematics, Physics and Materials Science, Engineering, Computational and Life Sciences), with other faculties, or with the adjunct research centers (LCSB, C2DH, SnT, LIST).
Foster and take a leading role in driving research in the area of Machine Learning at the University of Luxembourg, and
Offer focused Machine Learning courses at both Bachelor and Master level.
The initial package includes a PhD and a Postdoc position. The Luxembourgish research funding agency FNR offers a broad range of further funding opportunities through projects and special excellence programs (ATTRACT/PEARL).
The FSTC is seeking to hire an outstanding and visionary candidate in the area of Machine Learning.
Applicants should have an excellent international track record, a strong background in the theoretical foundations of Machine Learning, an interest in innovative Machine Learning techniques, and be open for interdisciplinary collaborations with both academia and industry. Non-exclusive possible areas of interest are Bayesian and statistical-relational learning, learning probabilistic and causal graphical models, learning other types of structured/logical knowledge, explainable learning, deep learning, unsupervised learning, big data applications (scalability, distributed and parallel execution of learning techniques), applications for natural-language processing, autonomous systems, space research, industry 4.0.
The University of Luxembourg is set in a multilingual context. The person hired on this position must be proficient in English and in one of the two official languages of Luxembourg: French or German. The University encourages its staff to learn the other official language and provides access to language courses to this end.
The University of Luxembourg:
The University of Luxembourg, which currently ranks 12th among the worldwide best universities under 50 years on the Times Higher Education (THE) list, is a public university
with a strong focus on research and a very international faculty. With far more than 300 researchers, it is a major and ambitious player in Computer Science, laying the foundations
for futuristic computational systems and supporting the digitization of science and society in the 21st century. The Computer Science and Communications Research Unit
one of the main pillars of research excellence at UL, performs fundamental and applied research in intelligent, secure, communicative, and advanced software systems. It promotes
interdisciplinary research and closely cooperates with other high-profile research centers in Luxembourg and beyond, as well as with industry and society, including the newly
established Luxembourg Space Agency. The CSC entertains various successful and growing teaching programs and supports lifelong learning activities. It will strongly profit from
Luxembourg's involvement in the EU High Performance Computing initiative.
Living in Luxembourg:
Luxembourg is a cosmopolitan country, the green heart of Europe combining the convenience of a metropolis with a human touch
(www.euraxess.lu). There are International/European schools as well as international tracks in local schools. The main part of the University is situated in Esch-Belval, a new and modern campus in a highly original environment with excellent public transport connections.
An international team at a young and dynamic university
An interdisciplinary research environment
A wide network of academic, institutional, and corporate partners
Skilled support staff and a team-oriented work environment
All applications should be sent by e-mail before 31/01/2019 to the Dean of the Faculty, using the email address:firstname.lastname@example.org.
Applications should contain a motivation letter, a detailed curriculum vitae, and a publication list. In addition, candidates should have
at least 3 reference letters sent directly by the writers to the same address.