[agents] Assistant Professor (tenure track) in Computer Science with specialisation in applied and/or foundational aspects of Machine Learning (M/F)

[Leon van der Torre]

The Faculty of Science, Technology, and Medicine (FSTM) of the 
University of Luxembourg (UL) announces an opening for an*Assistant 
Professor (tenure track) in Computer Science with specialisation in 
applied and/or foundational aspects of Machine Learning* 
<http://emea3.mrted.ly/2ezfc>(ML). The position is anchored within the 
Department of Computer Science (DCS).

Ref: *F1-50011608A* (to be mentioned in all correspondence)

Full-time position (40 hrs/week)

Earliest starting date: September 2020

Fixed-term contract: 5 years, with perspective of a permanent position 
and promotion to Associate Professor upon a positive evaluation. In case 
of an excellent more senior candidate, a direct appointment at the level 
of Associate Professor may be considered.

*Your Role:*

The position at the Assistant Professor level follows Luxembourg’s newly 
introduced 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 Associate Professor.

To diversify the existing skills and expertise within DCS, the candidate 
is expected to:

·advance state-of-the-art research in the area of Machine Learning,

·offer focused Machine Learning courses at both Bachelor and Master level,

·supervise PhD candidates and post-doctoral researchers at the 
University of Luxembourg,

·collaborate across the various departments within the FSTM (such as 
Mathematics, Physics and Materials Science, Engineering, Medicine, 
Computational and Life Sciences), with other faculties, as well as with 
the adjunct research centres (LCSB, C2DH, SnT, LIST).

The initial package includes a PhD and a post-doctoral researcher 
position. The Luxembourgish research funding agency (FNR) offers a broad 
range of further funding opportunities through projects and special 
excellence programs (ATTRACT/PEARL). Academic salaries in Luxembourg are 
very competitive and among the highest in Europe.

*Your Profile:*

The FSTM 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. Strong candidates with a more practical 
orientation will also be considered. 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 and computer vision, autonomous systems, 
space research, and industry 4.0.

The University of Luxembourg is set in a multilingual context. The 
person hired on this position must be proficient in English. French or 
German would be an asset.

*The University of Luxembourg* <https://wwwen.uni.lu/>

**

*We Offer:*

·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

*Applications:*

Applications should contain (in PDF format in English):

·A motivation letter

·A detailed curriculum vitae

·A 1-page research statement

·A 1-page teaching statement

·A full list of publications

·In addition, applicants are asked to provide recommendation letters of 
at least 3 referees which are to be submitted per email to 
DCS_Head at uni.lu <mailto:DCS_Head at uni.lu>on or before the application 
deadline (March 31^st , 2020)

For any questions please contact: Head of Department Professor Dr. 
Sjouke Mauw (e-mail: DCS_Head at uni.lu <mailto:DCS_Head at uni.lu>).

*All applications must be sent per e-mail on or before March 31^st , 
2020 to: FSTM_recruitment_DCS_ML at uni.lu*

All applications will be handled with strict confidence.

The University of Luxembourg is an equal opportunity employer. Special 
consideration will be given to female and young candidates to address 
the age pyramid and gender balance within DCS.

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