Job
- Level
- Experienced
- Job Field
- Data, Games
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Münster (Hessen)
- Working Model
- Onsite
Job Summary
In this role, you will design and lead research on Visual Computing, VR/XR, and AI, while developing teaching courses, supervising doctoral candidates, and managing external funding projects.
Job Technologies
Your role in the team
- The primary focus of the future position holder will be on independently conceptualizing and leading a university-wide research line in the fields of Visual Computing, Virtual and Extended Reality (VR/XR), Artificial Intelligence, as well as Human-Computer Interaction (HCI), including the autonomous acquisition and execution of third-party funded projects.
- Furthermore, independent planning and execution of courses (5 semester hours per semester) at the chair, the Institute of Geoinformatics, and in the interdisciplinary degree program "Data Science" in the aforementioned fields are expected.
- Additionally, the future incumbent will be responsible for co-supervising doctoral and thesis projects, participating in examination procedures, and coordinating tasks in research and teaching, including contributing to the strategic development of the chair, securing third-party funding, and academic self-administration.
- The position offers the opportunity for academic further qualification (habilitation).
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Our expectations of you
Education
- Completed academic university degree in Computer Science or a related discipline, as well as a completed or near-completion doctorate in a relevant field, particularly Virtual & Extended Reality (VR/XR) in combination with Deep Learning, Visual Computing, and Human-Computer Interaction.
Qualifications
- Teamwork skills, organizational talent, and a high degree of independence in task execution.
- Enjoyment in dealing with different groups of people.
- Interest in working in interdisciplinary teams.
Experience
- Relevant research experience, demonstrated through publications in internationally renowned journals or at leading conferences.
- Experience in the development of VR/XR applications (e.g., via game engines like Unity or Unreal) and rudimentary hardware prototypes, including experience in 3D printing and the use or development of end-to-end machine learning pipelines.
- Experience in independently designing and conducting own courses aligned with the aforementioned research focus areas, particularly in the field of interdisciplinary VR/AI-based teaching, and experience in the administration of distributed VR/XR teaching environments.
- Experience in the organization or execution of third-party funded projects is desirable.
- Experience in mentoring early-career researchers is desired.
- Experience in interdisciplinary collaboration, particularly at the interface of Visual Computing, interaction technologies, and AI and medicine or medical didactics, is desirable.
- Experience in the field of empirical educational research is desired.
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What we offer
- For the transition into a civil service position, an additional full-time activity of 3 years and 6 months after graduation or 1 year after completing a doctorate is required according to § 41 LVO.
- If this requirement has not yet been met, an initial employment in the civil service (EG 13 TV-L) can be arranged, with the possibility of later transfer to a civil servant position.
- If the remaining civil service legal requirements for appointment are not met, a permanent employment relationship can be established.
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Benefits
Work-Life-Integration
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Topics that you deal with on the job
Job Locations
This is your employer
Universität Münster
Westfälische Wilhelms-Universität Münster attracts 44,500 students every year. It is one of the largest universities in Germany and offers a variety of research opportunities as well as a wide range of courses. The city of Münster is also popular with students and scientists from Germany and abroad, as the quality of life here is high.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Education System, Science, Research