The University of Luxembourg invites applications to the following vacancy in the Department of Computer Science (https://dcs.uni.lu) within its Faculty of Science, Technology and Medicine:
Doctoral candidate (PhD student) in Computer Science
The selected candidate will be part of the Collaborative and Socio-Technical Systems group (COaST). Under the supervision of Prof. Dr. Steffen Rothkugel, the candidate will carry out research in the context of e-learning systems. The ALMA-Yactul ecosystem (https://coast.uni.lu/alma/), which comprises among other a gamified student response system and an enhanced sketchnoting application, leverages Semantic Web technologies such as ontologies and Knowledge Graphs to provide scaffolding support to students. Using this as a starting point, the candidate shall discover the opportunities of personalization and collaboration in next generation elearning systems. Elements of augmented, virtual or mixed reality may also influence this work, supported by the cutting-edge technology in the VR/AR Lab of the COaST group.
The candidate’s tasks include:
- Conducting research in the context of e-learning systems and preparing a doctoral dissertation
- Disseminating results through scientific publications
- Contributing to teaching activities and co-supervising students
The candidate should be a self-motivated, critically-reflecting team worker and possess:
- A Master’s degree in Computer Science or a closely related discipline
- Strong programming skills
- A proven interest in interdisciplinary research and record of initiative English language proficiency, written and spoken
- A large and dynamic research department with an exciting international, multicultural and multilingual environment
- Training in scientific and transferable skills; participation in schools, conferences and workshops
- The University of Luxembourg offers highly competitive salaries and is an equal opportunity employer
Applications — written in English — should be submitted online and include:
- A detailed curriculum vitae, including your contact address, academic and/or professional work experience
- A motivation letter including a brief description of past research experience and future interests (max. 1 page)
- A list of previous publications (if any), alternatively a link to your ORCID/ResearchGate/Google Scholar page
- An executive summary of your Master Thesis (max. 1 page)
- Degree certificates and transcript of all grades from university-level courses taken
- Contact information of at least two independent referees or two independent reference letters
Deadline for applications: July 15, 2020.
Early submission is highly encouraged as the applications are processed in order of reception. Applications by
email will not be considered.