University of Luxembourg, Faculty of Science, Technology and Communication

Position ID: 633-AP [#13413, F1-50011608]
Position Title: Associate Professor (tenure track for Full Professor) (M/F) in Computer Science with a focus on Machine Learning
Position Type: Tenured/Tenure-track faculty
Position Location: Luxembourg, Luxembourg 1359, Luxembourg [map]
Subject Area: Computer Science with a focus on Machine Learning
Application Deadline: 2019/01/31 finished (2018/12/19, finished 2019/08/04, listed until 2019/01/31)
Position Description:    

*** this position has been closed. ***

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 ( 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 
• Very competitive salary and benefits packages 

Further information
For questions please contact : Professor Leon van der Torre (e-mail:

All applications should be sent by e-mail before 31/01/2019 to the Dean of the Faculty, using the email address:  

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. 

All applications will be handled in strict confidence. 

The University of Luxembourg is an equal opportunity employer. The University of Luxembourg strives to increase the share of female professors. Therefore, we explicitly encourage women to apply.

This employer is not accepting applications for this position through Mathjobs.Org. Please see the job description above on how to apply.
Contact: Professor Leon van der Torre
Postal Mail:
Web Page:

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