Conduct excellent research in the field of graph representation learning; Communicate research results in international conferences and journals; Work constructively towards collectively defined research goals within a project; Write a doctoral dissertation in Computer Science; Assist in teaching activities; Co-supervise Master and/or Bachelor students
A master degree in computer science, mathematics, or a related field; A strong mathematical background, and strong programming skills; Knowledge about deep learning models, and experience in machine learning on graphs (e.g., graph neural networks) will be considered as an advantage; Interest in biological networks or background in biology or single-cell data would be an asset; A proven interest in interdisciplinary research; Self-motivated, strong commitment, and ability to work in a team; Fluent written and verbal communication skills in English are mandatory
UOL04717 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. The University of Luxembourg invites applications to this vacancy in the Department of Computer Science ( http://dcs.uni.lu ). Topics: security and privacy in graph data aggregation Your Role... The candidate’s tasks include the following: Conduct excellent research in the field of graph representation learning Communicate research results in international conferences and journals Work constructively towards collectively defined research goals within a project Write a doctoral dissertation in Computer Science Assist in teaching activities Co-supervise Master and/or Bachelor students The successful candidate will contribute to the interdisciplinary research project “Reconstructing Gene Regulatory Networks with Neural Relational Inference”, funded by Institute for Advanced Studies (IAS) at the university. The project aims to devise data-driven deep learning methods for inferring gene regulatory networks with high accuracy from single-cell gene expression data. In the project, the successful candidate will work closely with researchers from the Department of Life Sciences and Medicine, and she/he will focus on designing and implementing network inference methods. The successful candidate will be part of the Security and Trust of Software Systems group (SaToSS) at the Department of Computer Science, and she/he will be officially supervised by Dr. Jun Pang. For more information on the SaToSS research group, see: https://satoss.uni.lu/ What we expect from you… A master degree in computer science, mathematics, or a related field A strong mathematical background, and strong programming skills Knowledge about deep learning models, and experience in machine learning on graphs (e.g., graph neural networks) will be considered as an advantage Interest in biological networks or background in biology or single-cell data would be an asset A proven interest in interdisciplinary research Self-motivated, strong commitment, and ability to work in a team Fluent written and verbal communication skills in English are mandatory We offer... A large and dynamic department with an exciting international environment Training in scientific and transferable skills; participation in schools, conferences and workshops 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 Foreseen starting date: July 1st 2022, or upon agreement Employee and student status Location: Belval Job Reference: UOL04717 The yearly gross salary for every PhD at the UL is EUR 37.101,36 (full time) How to apply... Applications, written in English, should be submitted online and should include: A curriculum vitae (including your contact address, work experience, publications) A cover letter indicating the research area of interest and your motivation (max one page) A short description of your master thesis (max one page) Transcript of grades from all university-level courses taken Contact information for 2-3 referees Please note that the cover letter must clearly state how the experience and interests of the candidate are related to the PhD topic advertised. Generic applications that are not tailored to the topic will not be considered. All documents should be uploaded in PDF format We ensure a full consideration for applications received by 31/03/2022. 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 contact Dr. Jun Pang at firstname.lastname@example.org
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