Doctoral Candidate
il y a 2 jours
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.
- **Topics**: Large-scale optimisation, Machine Learning and High-Performance Computing
**Your Role...**:
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)
- Contact information for 3 referees at your current and/or previous affiliations
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...**:
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