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Research Associate (EG 13 TV-H) - Department of Industrial and Organizational Psychology
Application Deadline: | 18.10.2018 |
Hiring start date: | 01.11.2018 |
Reader Service Code: | 31754 |
Applications to: |
The position is initially limited for 3 years with the possibility of extension for another 2 years (qualification position according to § 65 HHG in conjunction with § 2 para. 1 sentence 1 WissZeitVG). The possibility of doctoral studies is given.
Tasks:
- Collaboration in an occupational science project for the development of innovative solutions or support systems based on risk considerations in the dismantling of nuclear facilities.
- Minimization of technical and human risk contributions in planning and execution processes
- Development of small applications in the context of safety scanning
- Use and further development of virtual space with regard to team communication and remote services
- Recording and evaluation of mental stress and strain in the work context of digital media with regard to team and leadership behavior
- Scientific collection and evaluation of biometric data with the measurement technology cEYEberman for the analysis of body and eye movements
- statistical evaluation/documentation of the results
- support of internal communication and project responsibility
- support of the department in the field of teaching and research
- acquisition of third party funding projects and/or establishment/expansion of a network with operational cooperation partners
- Support of internal communication and project responsibility
Requirements:
- with very good results completed scientific university studies in psychology with focus on cognition and work psychology
- very good knowledge in the fields of human information processing, system ergonomics as well as work and activity design in the context of mental and physical stress and strain
- experience with the application of biometric and psychophysiological measurement methods
- very good statistical and programming skills (R, Python, Java/C++ or equivalent)
- practical experience in conducting analyses in industrial companies
Advantageous are
- very good knowledge of English
- knowledge of human-machine systems and assistance systems
- independent, interdisciplinary work; social competence, ability to work in a team, creativity and independent problem-solving skills
- a high degree of independence, exact, solution- and result-oriented way of working
- very good experience with SPSS, Matlab and R
For further inquiries, please contact Prof. Dr. Sträter, Tel.: 0561-804-4211, E-Mail: straeter@uni-kassel.de.
The protection of your personal data is important to us, therefore we will handle your personal data with care. If you provide us with your data, you thereby allow us to store and use it in accordance with the Hessian Data Protection and Freedom of Information Act. You can object to this at any time. Your personal data will then be deleted.
In the interest of equal opportunities, the University of Kassel strives to offer women and men the same development opportunities and to counteract existing disadvantages. The aim is to significantly increase the proportion of women in research and teaching. Qualified women are therefore expressly encouraged to apply. Severely disabled applicants will be given preference if they are equally qualified and qualified. Full-time positions are generally divisible. Please submit only copies of your application documents (no folders), as these cannot be returned after the selection process has been completed; they will be destroyed in compliance with data protection regulations. Applications with informative documents should be sent to the President of the University of Kassel, 34109 Kassel or to bewerbungen[at]uni-kassel[dot]deor .