Researcher in Computer Science (University of Luxemburg)

About the FSTM The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg 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. Since 2017, the research group for Big Data, Data Science & Databases, headed by Prof. Dr. Martin Theobald, investigates scalable architectures for various data-analytics tasks. Our recent contributions include the TriAD distributed graph database, the TensAIR distributed streaming engine for online learning, as well as various works on probabilistic databases, information extraction and knowledge-graph construction (see https://dblp.org/pid/t/MartinTheobald.html for a recent list of publications). Your role The current opening for a Postdoctoral Researcher is based on a structural position which can be funded for up to five years by the Faculty of Science, Technology and Medicine (FSTM). We expect the successful candidate to contribute to our ongoing research and teaching activities at the intersection of Big Data, Databases and Machine Learning. A particular focus is put on recent advances in the areas of Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs). The position offers a high degree of freedom in developing also own research interests and further specialization within the above areas. The successful candidate will join the Big Data Research Group and will also actively be involved in the supervision of PhD students who are currently working in collaboration with the Luxembourg Centre for Systems Biomedicine (LCSB) and the Luxembourg Centre for Contemporary and Digital History (C2DH). Specifically, we expect the candidate to: carry out state-of-the-art research in the above areas provide active guidance to PhD, MSc and BSc students participate in writing research proposals taking a lead role in conducting research projects participate in our teaching activities present our results in international conferences and workshops For further inquiries, please contact Prof. Martin Theobald (martin.theobald@uni.lu). Your profile PhD degree in Computer Science or highly related field Strong track record of publications in related international conferences and journals Demonstrated experience with recent Machine-Learning platforms and APIs such as Tensorflow, Keras, PyTorch, etc. High degree of commitment to research and teaching with strong team-working and critical-thinking skills Language Skills: Proficient written and verbal communication skills in English are required. Additional language skills in French or German are a plus. We offer 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 … How to apply Applications should include: Detailed Curriculum Vitae, including (recent) photograph, your current contact address, training record, work experience and publications Letter of intent including your personal motivation for applying to the University of Luxembourg and the Big Data Research Group Certified copies of study degrees, incl. a transcript of recent courses taken (ideally with grades) Names and contact details of three referees 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. All qualified individuals are encouraged to apply. In line with our values, the University of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students. General information: Contract Type: Fixed Term Contract 24 Month Work Hours: Full Time 40.0 Hours per Week Location: Campus Belval Internal Title: Postdoctoral researcher Job Reference: UOL06940 The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 83099 (full time). If you apply for this position please say you saw it on Computeroxy

About the FSTM

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.

The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg 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.

Since 2017, the research group for Big Data, Data Science & Databases, headed by Prof. Dr. Martin Theobald, investigates scalable architectures for various data-analytics tasks. Our recent contributions include the TriAD distributed graph database, the TensAIR distributed streaming engine for online learning, as well as various works on probabilistic databases, information extraction and knowledge-graph construction (see https://dblp.org/pid/t/MartinTheobald.html for a recent list of publications).

Your role

The current opening for a Postdoctoral Researcher is based on a structural position which can be funded for up to five years by the Faculty of Science, Technology and Medicine (FSTM). We expect the successful candidate to contribute to our ongoing research and teaching activities at the intersection of Big Data, Databases and Machine Learning. A particular focus is put on recent advances in the areas of Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs).

The position offers a high degree of freedom in developing also own research interests and further specialization within the above areas. The successful candidate will join the Big Data Research Group and will also actively be involved in the supervision of PhD students who are currently working in collaboration with the Luxembourg Centre for Systems Biomedicine (LCSB) and the Luxembourg Centre for Contemporary and Digital History (C2DH).

Specifically, we expect the candidate to:

carry out state-of-the-art research in the above areas
provide active guidance to PhD, MSc and BSc students
participate in writing research proposals
taking a lead role in conducting research projects
participate in our teaching activities
present our results in international conferences and workshops

For further inquiries, please contact Prof. Martin Theobald (martin.theobald@uni.lu).

Your profile

PhD degree in Computer Science or highly related field
Strong track record of publications in related international conferences and journals
Demonstrated experience with recent Machine-Learning platforms and APIs such as Tensorflow, Keras, PyTorch, etc.
High degree of commitment to research and teaching with strong team-working and critical-thinking skills

Language Skills: Proficient written and verbal communication skills in English are required. Additional language skills in French or German are a plus.

We offer

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 …

How to apply

Applications should include:

Detailed Curriculum Vitae, including (recent) photograph, your current contact address, training record, work experience and publications
Letter of intent including your personal motivation for applying to the University of Luxembourg and the Big Data Research Group
Certified copies of study degrees, incl. a transcript of recent courses taken (ideally with grades)
Names and contact details of three referees

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.

All qualified individuals are encouraged to apply. In line with our values, the University of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students.

General information: