Job description

The Human Movement Science group focuses on change processes through imagery, observation, or execution in real, augmented, and virtual environments. Scientific methods for the analysis of motor cognition and new technologies are used in (quasi-)experimental procedures in the laboratory and also in applied fields to draw conclusions on aspects of motor control, motor learning, and motor development in humans. Specifically, we study human movement using 3D motion analysis, mobile eye tracking, and virtual reality. The position offers the opportunity to expand relevant methodological expertise and to independently develop and conduct research projects on these or related topics in collaboration with the head of the group. Besides active support for your scientific career, you will benefit from regular exchanges in a friendly, stimulating, and internationally connected group.

Responsibilities

• Develop and conduct your own research program within the research topics of the group (including independent conceptualization, implementation, and analysis of studies, presentation of results at conferences, publication of results in international journals).
• Participate in other scientific activities of the group (e.g. assisting with laboratory setup, contributing to publications, application for third-party funded projects)
• Teaching to the extent of 4 SWS (Semesterwochenstunden/ 4 hours per week) per semester with a focus on human movement science or related subjects

Requirements

• University degree (Master/Uni-Diploma) and completed PhD in a relevant field (e.g. sport science, psychology, cognitive science)
• Experience with or interest in the human movement science topics (e.g. motor cognition, imagery, VR, motor learning, and/or development) and methods (e.g. 3D motion analysis, eye tracking, VR) of the group (see http://cilia-lab.eu)
• Good methodological skills and experience with statistical programs (e.g. R or SPSS)
• Experience with or interest in programming virtual reality, experiments, and analyses (e.g. with Unity, Python/PsychoPy, or Matlab)
• Good command of English and German (or willingness to learn German)
• Independent, structured, responsible, and team-oriented work approach

General Information

Open to unconventional approaches in research and teaching, the University of Bremen has retained its character as a place of short distances for people and ideas since its founding in 1971. With a broad range of subjects, we combine exceptional performance and innovative potential. As an ambitious research university, we stand for research-based learning approaches and a pronounced interdisciplinary orientation. We actively pursue international scientific cooperation in a spirit of global partnership.

Today, around 23,000 people learn, teach, research and work on our international campus. In research and teaching, administration and operations, we are firmly committed to the goals of sustainability, climate justice and climate neutrality. Our Bremen spirit is expressed in the courage to dare new things, in supportive cooperation, in respect and appreciation for each other. With our study and research profile and as part of the European YUFE network, we assume social responsibility in the region, in Europe and in the world.

The university is family-friendly, diverse and considers itself an international university. We therefore welcome all applicants regardless of gender, nationality, ethnic and social backgroud, religion/worldview, disability, age, sexual orientation and identity.

As the University of Bremen intends to increase the proportion of female employees in academia, women are particularly encouraged to apply. Disabled applicants will be given priority if their professional and personal qualifications are essentially the same.

If you have any questions, please contact Prof. Dr. Cornelia Frank (cornelia.frankprotect me ?!uni-bremenprotect me ?!.de).

Please submit your application with the usual documents (cover letter, including a brief explanation of your interests and fit with the above-mentioned tasks and requirements, academic CV, certificates) by 12.11.2024, as a PDF file by unencrypted electronic mail, indicating the reference number A303-24, to cornelia.frankprotect me ?!uni-bremenprotect me ?!.de or by mail to:

Universität Bremen
Prof. Dr. Cornelia Frank,
Professur für Bewegungswissenschaften
TAB, Raum 3.01
Am Fallturm 1
28359 Bremen

We kindly ask you to send us only copies (no portfolios) of your application documents as we cannot return them. They will be destroyed after the selection process has been completed. Any application costs cannot be reimbursed.