Research Associate (m/f/d) Faculty of Humanities and Social Sciences, Professorship for Department of Methodology and Statistics for Psychology

At Helmut Schmidt University / University of the Federal Armed Forces Hamburg (HSU/UniBw H), Faculty of Humanities and Social Sciences, Professorship for Department of Methodology and Statistics for Psychology (Univ.-Prof. Dr. Hecht) a position is available from the next possible date for a

Research Associate (m/f/d)

(salary group 13 TVöD [Collective agreement for the public service]; 29,25 hours per week)

for a limited period of 2 years.

Responsibilities:

• Research and publication activities in the field of psychological methods and statistics within the core areas of our research group (www./jastag.org/research.html), for example causal inference, individual diagnostics, multi-level and longitudinal modeling, machine learning and Bayesian statistics, and at the interface of psychological methods and statistics as well as personality psychology and psychological diagnostics
• Academic service activities such as methodological and statistical consulting
• Assistance in teaching to the extent of basically 2,0 trimester hours per week
• Possibility of further academic qualification (e.g. doctorate or habilitation) 
• Carrying out general administrative work as well as academic activities in academic self-administration

Qualification requirements:

• A completed university degree [Diplom (univ.) or Master] in psychology, statistics or a related discipline completed with very good results

Furthermore desired:

• Knowledge of foreign language in German with a proficiency level that corresponds at least to the language level B2 of the Common European Framework of Reference for Languages
• Scientific and academic achievements appropriate to the candidate's career level 
• Excellent knowledge of psychological methods, statistics and diagnostics
• Knowledge of statistical software, especially R
• Proactivity, reliability, ability to work in a team and strong communication skills
• Independent and structured way of working, creative problem-solving skills
• Strong mathematical and statistical-analytical skills

Features of this position:

• A productive working environment in a team of highly qualified experts for excellent academic performance
• Capital-forming benefits
• Annual bonus payment
• Company pension scheme
• Flexible working hours and the option to work from home (teaching events are always held in person and in German)
• DeutschlandJobTicket with employer subsidy if the necessary requirements are met
• Possibility of claiming a childcare place in a daycare centre close to the campus if the necessary preconditions are met
• You will benefit from targeted personnel development and an extensive range of further training and education opportunities.
• Budget-friendly meals in the campus canteen with three meals a day
• You have the opportunity to participate in workplace health promotion offers (for more information, see: www.hsu-hh.de/bgm/).
• Free parking on the campus grounds

Possibility of using the Bundeswehr's own car-sharing service (for more information, go to: www.bwcarsharing.de).

For questions related to scientific or technical aspects, please contact Univ.-Prof. Dr. Hecht, by e-mail: martin.hecht@hsu-hh.de.

The employment is based on the TVöD in conjunction with the Wissenschaftszeitvertragsgesetz [German Act on Fixed-Term Scientific Contracts]. In principle, the activities correspond to pay group 13 (E13). Classification up to pay group 13 of the TVöD shall be made in accordance with § 12 of the TVöD with regard to the activities to be performed on a more than temporary basis and the fulfilment of the personal or collective agreement requirements (job characteristics).

Part-time employment is possible.

The Federal Armed Forces promotes professional equality between women and men and therefore particularly welcomes applications from women.

In accordance with the Sozialgesetzbuch IX [Social Code Book IX] and the Disability Equality Act, we expressly welcome applications from severely disabled persons; the fulfilment of the requirements for the advertisement will be considered on an individual basis.

More information about the university can be found at:

www.hsu-hh.de.

Please send your application with the usual documents exclusively in electronic form (pdf file), quoting the reference number GeiSo-1424, by 07.11.2024 to:

personalabteilung@hsu-hh.de.

Note: 

Information on data protection in the application process can be found on the website www.hsu-hh.de under the heading "Universität - Karriere - Datenschutzinformationen“.

Applications without reference number will not be considered and will be deleted immediately for data protection reasons.