Doctoral candidate (PhD student) in Computer Science

Doctoral candidate (PhD student) in Computer Science
(Valid from 02/12/2022 to 03/02/2023)

Language: English (UK)
Location Belval
Country: Luxembourg

Organisation Department of Computer Science (DCS)
data:
Job Number: UOL05447
Contract Fixed Term Contract
Type:
Duration 36 Month
Schedule Full Time
Type:
Work Hours 40.0 Hours per Week
Expected 01/04/2023
Start Date:

Job Doctoral Researcher
(internal):
Functions: PhD Candidates

The University | About us…
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 the society and environment we live in.

The University of Luxembourg invites applications in the Department of Computer Science (http://dcs.uni.lu ) within its Faculty of Science, Technology and
Medicine.

* Topics: Large-scale optimisation, Machine Learning and High-Performance Computing

Your Role…
The successful candidate(s) will join the “PCOG” group led by Prof. Dr. Pascal Bouvry in the Belval Campus of the University of Luxembourg. You will
contribute to a joint research project on High-Performance Decomposition Algorithms for Combinatorial Optimisation and Machine Learning. The aim of this
project is to closely collaborate with the University of Lorraine (France) to develop new approaches based on column generation and machine learning
approaches to decompose large optimization/learning problems. In this context, your task will be to develop new scalable and distributed approaches using
our in-house HPC platforms, i.e., two supercomputers (Aion and Iris).

Your roles will include:

* Conducting fundamental research and contributing to international publications in the area of large-scale optimisation theory and machine learning
* Developing high-performance models and algorithms
* Experimentally evaluating their performance using our in-house HPC platforms
* Assisting in Bachelor/Master projects and courses

What we expect from you…
* Master degree in Computer Science
* Strong mathematical and algorithmic background, especially in Mathematical Programming
* Excellent programming skills in C/C++ and/or Python
* Background in distributed architectures and machine learning
* Good communication skills, commitment, team working, and a critical mind

The University is an equal-opportunity employer. Fluent written and verbal communication skills in English are mandatory. The University of Luxembourg is
a young, multi-lingual and international research university. The communication in the research groups is in English, while teaching is conducted in
English, French and German. You will work in an exciting international environment and will have the opportunity to participate in a state-of-the-art
research topic at the intersection of Mathematical Programming, Machine Learning and High-Performance Computing. You will also have the chance to
collaborate with other motivated members of the team on exciting problematics.

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
* Employee and student status
* Location: Belval
* Job Reference: UOL05447

The yearly gross salary for every PhD at the UL is EUR 38028 (full time)

How to apply…
Applications should be submitted online and include:

* Curriculum vitae, including your current contact address, transcript of certificates and grades (with a detailed list of university courses taken)
and your previous publications (if any)
* Cover letter and research statement indicating your topics-of-interest and motivation to apply for the position (max. 2 pages)
* Contact information for 3 referees at your current and/or previous affiliations

Early application is highly encouraged, as the applications will be processed upon reception. Please apply 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 …
* Find out more about the University
* Addresses, maps & routes to the various sites of the University

Further information…
For further information, please feel to directly contact [email protected] or [email protected]

Apply here https://emea3.recruitmentplatform.com/syndicated/private/syd_apply.cfm?ID=PSAFK026203F3VBQB7V7VV4I3&nPostingTargetId=117727&nPostingId=79876

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