The Department of Mathematicsof the Faculty of Science, Technology, and Medicine (FSTM)of the University of Luxembourg(UL) has an opening for an Associate Professor in Mathematics (promotion track) – Area of Statistics and Machine Learning.
The position at the Associate Professor level follows Luxembourg’s promotion-track scheme, according to which the initial appointment is a permanent position contract. Upon a successful evaluation, the candidate will be offered a promotion as a Full Professor.
To diversify and reinforce the existing skills and expertise within the Department of Mathematics, the candidate is expected to:
The Department of Mathematics is seeking for outstanding candidates in the area of Mathematical Statistics, with specific emphasis on Machine Learning, Deep Learning, Big Data and related subjects.
Mid- to advanced-stage researchers who have already demonstrated excellence in these domains are encouraged to apply. Candidates who bring expertise bridging current areas of research present in the university and that are open for interdisciplinary collaborations, both within academia and the industry, will be viewed favourably. The successful candidate is expected to take active part in the creation of teaching programs in Data Science at Luxembourg University, as well as to apply for joint or individual third-party funding, both at the national and European level. Evidence of these abilities (as portrayed by the candidate’s track record) will be a crucial selection criterion.
The University of Luxembourg is set in a multilingual context. The person hired on this position must be proficient in English and either French or German. The University encourages its staff to learn the other language and provides access to language courses to this end.
- A highly international, young and dynamic university
- An exceptional research environment
- Skilled support staff
- Competitive salary and benefits packages
The University of Luxembourg is an equal opportunity employer and strives to increase the share of female professors. As portrayed by recent hires and its outreach activities, the Department of Mathematics is actively engaged in this endeavour. We explicitly encourage women to apply.
The University of Luxembourg, which currently ranks 17th 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 highly international faculty.
Like the University, the Department of Mathematics is very ambitious and continues to develop in excellence, breadth and diversity. Thanks to support by multiple third-party funding schemes (in particular, a recent ERA Chair in Mathematical Statistics and Data Science), the department is extremely active with many high level postdoctoral researchers and PhD candidates.
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 and international tracks in local schools. The main site of the university (where the Department of Mathematics is located) is situated in Esch-Belval, and is a new and modern campus in a highly original environment.
Applications should contain a motivation letter, a letter indicating the applicant’s research interests, a detailed curriculum vitae, a full list of publications and at least three letters of recommendation (to be sent separately).All applications and letters should be sent by e-mail before 31 March 2020 to Prof. Dr.Jean-Marc Schlenker, using the email address: FSTC.recruitment-RMATH@uni.lu
For further questions please contact the current chair of the department: ProfessorGiovanni Peccati(email@example.com)Läs mer
|Titel||Associate Professor in Mathematics (promotion track) – Area of Statistics and Machine Learning|
|Employer||University of Luxembourg|
|Job location||6, rue Richard Coudenhove-Kalergi, L-1359 Luxembourg|
|Publicerad||februari 24, 2020|
|Sista ansökningsdatum||mars 31, 2020|
|Befattningar||Professor,   Universitetslektor,   Tenure Track  |
|Ämnen||Statistik,   Tillämpad matematik,   Beräkningsmatematik,   Big data,   Maskininlärning  |