Research Associate (m/f/d), part-time

Research Associate (m/f/d), part-time

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 (), for example causal inference, individual diagnostics, multi-level and longitudinal modeling, machine learning and Bayesian statistics, and at the interface of psychological meth-ods 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: ).
• Free parking on the campus grounds
• Possibility of using the Bundeswehr's own carsharing service (for more information, go to: ).

For questions related to scientific or technical aspects, please contact Univ.-Prof. Dr. Hecht, by e-mail: .

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:

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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:

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Note:
Information on data protection in the application process can be found on the website under the heading "Universität - Karriere - Datenschutzinformationen".

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