The University of Luxembourg invites applications to the following vacancy in the Department of Computer Science (http://dcs.uni.lu) within its Faculty of Science, Technology and Medicine:
Doctoral Candidate (PhD student) in Computer Science
The studentship would be conducted within the Security and Trust of Software Systems group (SaToSS) led by Prof. Sjouke Mauw. The successful doctoral candidate will be officially supervised by Dr. Jun Pang, and she/he is expected to (1) develop computational tools and methods and/or (2) apply deep learning techniques for modeling and analysing real-life networks (e.g., social networks, biological networks, networks of scientific papers and authors).
For more information on the SaToSS research group, see: https://satoss.uni.lu/
The candidate’s tasks include the following:
- Conduct excellent research in the field of modeling and analysis of complex networks
- Communicate research results in international conferences and journals
- Write a doctoral dissertation in Computer Science
- Assist in teaching activities
- Co-supervise Master and/or Bachelor students
- For further information, please contact Dr. Jun Pang at firstname.lastname@example.org
- A master degree in computer science, mathematics, engineering or a related field
- The candidate should demonstrate a pro-active approach to achieving research excellence
- Experience in machine learning and/or formal methods will be considered as an advantage
- A proven interest in network analysis
- Strong programming skills
- Commitment, team working and a critical mind
- Fluent written and verbal communication skills in English are mandatory
- A large and dynamic department with an exciting international environment.
- Training in scientific and transferable skills; participation in schools, conferences and workshops.
- A fixed-term 3 years contract on full time basis (40hrs/week), renewable up to 4 years pending satisfaction of progress milestones.
- The University of Luxembourg offers highly competitive salaries and is an equal opportunity employer
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
- A research statement which addresses specifically the topic of the position (max 1 page)
- A short description of your master thesis (max 1 page) Transcript of grades from all university-level courses taken
- Contact information for 2-3 referees
Deadline for applications: 31/07/2020.
All documents should be uploaded in PDF format via the UL online submission system (no applications via email please). Applications will be processed on basis of receipt so an early submission is encouraged; applications submitted within the stated deadline will be given preference.