Doctoral Candidates (m/f/d) Lieb Research Group

Updated: about 5 hours ago

The Leibniz Institute for Resilience Research (LIR) gGmbH is a non-university research institute with the aim of researching the phenomenon of resilience, i.e., the maintenance or rapid recovery of mental health during or after acute or chronic stressful life circumstances. It investigates the mechanisms that mediate resilience, develops interventions that promote resilience, and implements effective interventions in healthcare in companies, schools, and universities. 

Starting on October 1, 2024, the Lieb Research Group at the LIR ( ) is seeking: 

Doctoral Candidates (m/f/d) 

(50-65%, currently 19-25 hours/week) 

The positions are initially limited to September 30, 2027, with an option of extension. 

Your tasks include: 

  • Conducting systematic reviews on various topics in resilience research (e.g., resilience-promoting interventions, mental health trajectories after stress exposure) 

  • Contributing to the development of the research group's expertise in the use of artificial intelligence (AI) to optimize the review process 

  • Preparing, writing, and contributing to scientific publications 

  • Assisting in the preparation of third-party grant applications 

  • Handling organizational tasks (e.g., organizing symposia) 

  • Supervising bachelor's and master's theses 

Your profile: 

  • You have completed a university degree in psychology or a related field with excellent results, or you are about to complete such a degree (master's degree or diploma)

  • Ideally, you have experience in scientific research work, possibly in the field of evidence synthesis and meta-analyses (i.e., conceptualizing systematic reviews, study selection, data extraction, quality assessments, and data analysis)

  • You have a great interest in the topics of resilience and health promotion over the lifespan

  • Ideally, you have prior experience and/or keen interest in utilizing AI methods

  • You have excellent English language skills (written and spoken)

  • You should have a proficient knowledge of MS Office, and ideally, you are familiar with evidence synthesis and meta-analysis software (e.g., Rayyan, R including the packages Metafor, Meta). Additionally, you have strong statistical knowledge and are open to further training in this area

  • You can work in a structured and autonomously manner and are skilled in reading and understanding scientific publications

  • You enjoy working in an interdisciplinary team of scientists and demonstrate excellent teamwork and communication skills

  • You approach your work with reliability, conscientiousness, and a goal-oriented mindset

We offer: 

  • A challenging, highly dynamic, and science-driven working environment with flat hierarchies, responsibility, and a great deal of creative freedom 

  • Close and effective supervision, structured guidance, and a clear doctoral process including the participation in a graduate program at cooperating universities 

  • The opportunity to combine a doctoral program with psychotherapy training (PP/KJP) 

  • Flexible working hours and mobile working 

  • A wide range of training and development opportunities, e.g., via the Haufe Academy 

  • An employer-financed pension scheme for non-civil servants in the public sector (VBL) 

The salary is up to EG 13 TV-UM (collective agreement of the University Medical Center Mainz). 

Jun.-Prof. Dr. Sarah Schäfer will be happy to answer any technical questions you may have in person or by e-mail (sarah.schaefer(at) ). 

Have we appealed to you? Then please send us your detailed application in English by e-mail only and in one coherent PDF file, stating your earliest possible starting date: r ecruiting . Please enter the reference number LIR_99 in the subject line.  

Women are given preferential consideration for recruitment in the case of equivalent suitability, qualifications and professional performance, insofar and as long as there is an under-representation. This does not apply if there are such serious reasons in the person of an applicant that they outweigh the requirement for equal opportunities for women. Severely disabled applicants with equal qualifications will be given preference (proof required).  

Data protection information  

Your personal data contained in the application documents or, if applicable, obtained in the interview will be processed exclusively for the purpose of the selection procedure for this advertised position.  

The legal basis for data processing in the application process and as part of the personnel file is Section 26 (1) sentence 1 BDSG and Art. 6 (1) (b) GDPR and, if you have given your consent, for example by sending information that is not necessary for the application process, Art. 6 (1) (a) GDPR. The legal basis for data processing after a rejection is Art. 6 (1) (f) GDPR. The legal basis for storage under budgetary and tax law is Art. 6 para. 1 lit. c GDPR in conjunction with § SECTION 147 AO. Legitimate interest in processing based on Art. 6 para. 1 lit. (f) GDPR is the defense against legal claims.  

As a rule, we do not require any special categories of personal data within the meaning of Art. 9 GDPR for the application process. We ask you not to send us any such information from the outset. If such information is exceptionally relevant to the application process, we will process it together with your other applicant data. This may, for example, concern information about a severe disability, which you can provide to us voluntarily and which we then must process in order to fulfill our special obligations with regard to severely disabled persons. In these cases, the processing serves the exercise of rights or the fulfillment of legal obligations arising from labor law, social security law and social protection. The legal basis for data processing is then Art. 9 para. 2 lit. b GDPR, §§ 26 para. 3 BDSG, 164 SGB IX. In exceptional cases, it may be necessary to obtain information about your health or a disability or information from the Federal Central Criminal Register, i.e. about previous convictions, in order to assess your suitability for the intended job. The legal basis for this is § 26 BDSG.  

The person responsible for the application procedure is the addressee of the application specified below in this call for applications.  

As part of the application process within the Leibniz Institute for Resilience Research (LIR), your personal data will be passed on to Members of the selection committee, the personnel administration, the equal opportunities officer, the representative for severely disabled persons and, if applicable, the works council within the scope of their organizational or legal responsibilities.  

Your personal data will be deleted no later than six months after completion of the selection process. According to the GDPR, you have the following rights vis-à-vis the addressee of the application if the relevant legal requirements are met right of access (Art. 15 GDPR), right to rectification of inaccurate personal data (Art. 16 GDPR); data erasure (Art. 17 GDPR), restriction of processing (Art. 18 GDPR) and objection to processing (Art. 21 GDPR).  

If you have any questions, you can contact the LIR data protection officer ([email protected]). You also have the right to lodge a complaint with the Rhineland-Palatinate Data Protection Officer.  

Link to the privacy policy of LIR gGmbH:   

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