University of Luxembourg, Faculty of Science, Technology and Medicine (FSTM)

Position ID: FSTM-POSTDOC [#19023, UOL04583]
Position Title: Post-doc in Data Science
Position Type: Postdoctoral
Position Location: Esch-sur-Alzette, Luxembourg 4365, Luxembourg [map]
Subject Area: Data Science
Application Deadline: 2022/02/28 11:59PMhelp popup finished (2021/11/16, finished 2022/01/11, listed until 2022/02/28)
Position Description:    

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

The University of Luxembourg is looking for its Faculty of Science, Technology and Medicine (FSTM), Department of Mathematics, for 1 post-doc in Data Science.


Your Role
  • Research in one or more of the following topics: statistical modelling, (interpretable) machine learning, sports analytics, analysis of (sports) medicine data
  • Research dissemination at international conferences
  • Teaching activity of 2-4 hours per week
  • Active participation in and support of the organization of the activities of the research group

What we expect from you
  • PhD (not dating back more than 7 years) of high quality
  • Research experience in at least one of the following topics: computational statistics, machine learning, bioinformatics
  • Experience in programming languages
  • Autonomous worker with good organizational and analytic skills
  • Very good written and oral skills in English

We offer
  • Outstanding research conditions in an international and inspiring environment
  • Possibility to work in a vibrant inter-disciplinary environment with close contacts to researchers from other fields and industrial partners
  • Possibility to become a member of a young team of dedicated researchers
  • A competitive salary


In Short
  • Contract type: 24 months fixed-term contract
  • Work hours: Full time 40 hours / week
  • Foreseen starting date: February 2022 or earlier
  • Location: Belval
  • Job reference: UOL04583

How to apply
Applications should include:
  • Detailed curriculum vitae (including publication list)
  • Names of two referees
  • Copies of relevant certificates
  • Research program

Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by email will not be considered. The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.

In return you will get
  • Multilingual and international character.
  • Modern institution with a personal atmosphere.
  • Staff coming from 90 countries. Member of the “University of the Greater Region” (UniGR).
  • A modern and dynamic university.
  • High-quality equipment.
  • Close ties to the business world and to the Luxembourg labour market.
  • A unique urban site with excellent infrastructure.
  • A partner for society and industry.
  • Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs
Further information
The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world. The University’s faculties and interdisciplinary centres focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International Law, Finance and Financial Innovation, Education, Contemporary and Digital History. In addition, the University focuses on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide for its “international outlook,” #20 in the Young University Ranking 2021 and among the top 250 universities worldwide.

We are not accepting applications for this job through Mathjobs.Org right now. Please apply at http://emea3.mrted.ly/2vp0n.
Contact: Prof. Dr. Christophe Ley
Email:
Postal Mail:
UNIVERSITY OF LUXEMBOURG
MNO, DMATH
6, avenue de la Fonte
L-4365 Esch-sur-Alzette
Web Page: https://wwwen.uni.lu/research/fstm/dmath

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