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Position: Post-doctoral Fellow in Combinatorial Optimisation, Meta-Heuristics, Machine Learning, and Parallel Computing
Institution: University of Luxembourg
Location: Luxembourg City, Luxembourg
Duties: We are seeking a highly-motivated Postdoctoral Fellow in Combinatorial Optimisation, Meta-Heuristics, Machine Learning, and Parallel Computing. To this end, one postdoctoral fellow will be hired on the project to conduct the following tasks: Lead high-impact research in the fields of Optimisation and HPC; Perform teaching activities in his/fields of expertise at bachelor, master and PhD levels (max 90 hours/year); Participate to the writing of research funding proposals; Support the head of department for other admin duties
Requirements: PhD degree in Computer Science or related fields (e.g., engineering, applied mathematics, etc.); Advanced Know-How in the fields of HPC, HPDA, AI; Experience in a research environment; Experience with industry is a plus; Great communication skills
   
Text: UOL04987 31-Dec-2099 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 society and environment we live in. Solving today’s scientific and real-world problems not only requires high performance computing (HPC), but also new generations of Artificial Intelligence algorithms. The Parallel Computing & Optimisation group led by Prof. Pascal Bouvry conducts research in parallel computing, search and optimisation techniques, to provide efficient, scalable and robust solutions to state-of-the-art, large-scale discrete/combinatorial problems. The main application domains are: Security, Trust and Reliability Reliable scheduling and routing on new generations of networks; cloud, edge, IoT Sustainable development and systems biomedicine Unmanned autonomous vehicles (UAV) Smart cities In addition, PCOG is at the heart of the digital strategy of the university by managing the High Performance Computing (HPC) developments and the associated facility since 2007. Your Role... We are seeking a highly-motivated Postdoctoral Fellow in Combinatorial Optimisation, Meta-Heuristics, Machine Learning, and Parallel Computing . To this end, one postdoctoral fellow will be hired on the project to conduct the following tasks: Lead high-impact research in the fields of Optimisation and HPC Perform teaching activities in his/fields of expertise at bachelor, master and PhD levels (max 90 hours/year) Participate to the writing of research funding proposals Support the head of department for other admin duties The HPC postdoctoral fellow will report to the HPC director, Prof. Dr. Pascal Bouvry. For further information, please contact Pascal.Bouvry@uni.lu What we expect from you… PhD degree in Computer Science or related fields (e.g., engineering, applied mathematics, etc.) Advanced Know-How in the fields of HPC, HPDA, AI Experience in a research environment Experience with industry is a plus Great communication skills Understanding and implementation of project management best practices Commitment, team working, interpersonal skills and a critical mind Good written and oral skills in English In Short... Contract Type: Fixed Term Contract 24 Month (possible extension up to 5 years in total) Work Hours: Full Time 40.0 Hours per Week Ideal starting date: July 2022 Location: Belval Job Reference: UOL04987 The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 77.167,08 (full time) How to apply... Applications in English (and PDF) should include: Detailed Curriculum Vitae, including (recent) photograph, your contact address, training record, work experience and (if available), publications and language test results (e.g.TOEFL) Letter of intent including the personal motivations for applying to the University of Luxembourg and its HPC team Certified copies of degree certificates, incl. a transcript of courses taken (with grades) Names and contact details of three referees We ensure a full consideration for applications received by 31 May 2022. 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 … Find out more about the University Addresses, maps & routes to the various sites of the University
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