Doctoral Student in Computer Science: Lund University invites applications for a doctoral position focused on Human-Robot Interaction within the context of multi-agent systems. This position offers the opportunity to engage in cutting-edge research in collaboration with Linköping University.
Doctoral Student in Computer Science – Human-Robot Interaction
Designation
Doctoral Student in Computer Science
| Category | Details |
|---|---|
| Research Area | Human-Robot Interaction |
| Location | Lund University, Skåne, Sweden |
| Duration | Full-time, 4 years |
| Salary | Monthly salary |
| Employment Type | Temporary position |
Eligibility / Qualification
- General Requirements:
- Second-cycle qualification or equivalent credits.
- Specific Requirements:
- At least 60 second-cycle credits relevant to the research topic.
- MSc in Engineering in relevant fields (e.g., Computer Science, Electrical Engineering).
Additional Requirements
- Strong mathematical and programming skills.
- Ability to work independently and tackle research problems.
- Proficiency in English (spoken and written).
- Documented knowledge in:
- Artificial Intelligence, beyond Machine Learning.
- Machine Learning / Deep Learning / LLMs.
Other Qualifications
- Knowledge in human-robot interaction or related fields.
- Experience with empirical methods and tools (e.g., ROS, Unity, Unreal).
Description
The PhD project, supervised by Assoc. Prof. Elin A. Topp, will focus on agent-based multi-robot interaction for safety-related applications. The candidate will participate in research, teaching, and departmental activities while collaborating with a research group at Linköping University. The program aims to equip robotic systems with skills to collaborate effectively with humans in various contexts.
How to Apply
Applications should be submitted in English and must include:
- A CV and a cover letter detailing your interest and alignment with the research project.
- Copies of study certificates and/or degree certificates fulfilling admission requirements.
- Additional documents such as grade transcripts and references.
Last Date for Apply
February 2, 2026
For more information, contact Assoc. Prof. Elin A. Topp at elin_a.topp@cs.lth.se.
