Doctoral Candidate

il y a 2 semaines


Luxembourg, Luxembourg Université du Luxembourg Temps plein
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.


The Faculty of Science, Technology and Medicine (FSTM) contributes multidisciplinary expertise in the fields of ;
Mathematics,
Physics,
Engineering,
Computer Science,
Life Sciences and
Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens, in order to better understand, explain and advance society and environment we live in.
-
Topics:

Privacy-preserving and robust machine learning

Your Role
:

  • Conduct excellent research in the field of security and privacy in machine learning
  • Communicate research results in international conferences and journals
  • Write a doctoral dissertation in Computer Science
  • Disseminate results through scientific publications
  • Assist in teaching activities
  • Cosupervise Master and/or Bachelor students

What we expect from you:

  • Master degree in computer science
  • Strong mathematical and algorithmic background, especially in machine learning
  • Excellent programming skills in Python and or C/C++
  • A proactive approach to achieving research excellence
  • Experience in machine learning and/or security & privacy will be considered an advantage
  • Commitment, team working and a critical mind
  • Fluent written and verbal communication skills in English are mandatory

In Short
:

  • Contract Type: Fixed Term Contract 36 Month (extendable up to 48 months if required)
  • Work Hours: Full Time 40.0 Hours per Week
  • Location: Belval
  • Employee and student status
  • Job Reference: UOL05680
The yearly gross salary for every PhD at the UL is EUR full time)

How to apply
:

Applications should include:

  • Curriculum vitae including your current contact address, work experience, publications (if any)
  • A short description of your master thesis (max 1 page)
  • Transcript of grades from all universitylevel courses taken
  • Contact information for 23 referees
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
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