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Ian Hussey

6 months ago

PhD Student in Meta-Science and Clinical Psychology University of Bern in Switzerland

Degree Level

PhD

Field of study

Psychology

Funding

Fully funded PhD employment at 100% FTE for four years through the Swiss National Science Foundation (SNSF) project QUEST. Gross salary is CHF 50,000 including the 13th month, plus employer contributions to the Swiss state pension (AHV). Annual student fees are approximately CHF 200.

Deadline

Expired

Country flag

Country

Switzerland

University

University of Bern

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Keywords

Psychology
Clinical Psychology
Psychotherapy
Monte Carlo Simulation
Data Harmonization
Statistics
Research Method
Psychometric
Large Language Models

About this position

University of Bern is hiring a PhD student in Meta-Science and Clinical Psychology within the Psychology of Digitalisation research group. The project, QUEST ("Quantifying effect size inflation in clinical psychology trials"), is an SNSF-funded meta-science PhD focused on how questionable measurement practices and questionable research practices may inflate estimates of psychotherapy efficacy across clinical psychology.

The position is based in Bern, Switzerland, and is an in-person role with no remote option. The successful candidate will work with Ian Hussey and Malte Elson, alongside a postdoc colleague, in an international English-speaking research environment. The work combines meta-science, clinical psychology, research methods, statistics, and computational approaches such as multilevel meta-analysis, Confirmatory Factor Analysis, Monte Carlo simulations, and the use of large language models for psychological research.

Research tasks include curating and harmonising clinical trial datasets for meta-analysis, conducting multilevel convergent validity and reliability meta-analyses, and designing/managing a large-scale online data collection study. The role also offers opportunities to develop skills in reproducible data pipelines, psychometric validity methods, and scientific writing, with teaching opportunities in English and/or German.

Eligibility highlights: a Master's degree in Psychology, Research Methods, Statistics, or a related field; strong R skills; familiarity with advanced statistical methods; strong written and spoken English; and willingness to relocate or commute to Bern. The post explicitly encourages applications from women and candidates from underrepresented backgrounds in academia.

Funding: the PhD is fully funded for 4 years at 100% FTE, with a gross salary of CHF 50,000 including the 13th month, plus pension contributions. Annual student fees are approximately CHF 200.

Application window: applications are considered on a rolling basis until the position is filled, with full consideration by 2026-05-17. To apply, send a motivation letter, academic CV, contact details for two references, and a sample of academic writing to [email protected].

Funding details

Fully funded PhD employment at 100% FTE for four years through the Swiss National Science Foundation (SNSF) project QUEST. Gross salary is CHF 50,000 including the 13th month, plus employer contributions to the Swiss state pension (AHV). Annual student fees are approximately CHF 200.

What's required

A Master's degree in Psychology, Research Methods, Statistics, or a related field is required. Applicants should have strong working knowledge of R for data management and statistical analysis, familiarity with advanced statistical methods such as multilevel models, Confirmatory Factor Analysis, and/or Monte Carlo simulations, and a deep interest in meta-science and research methodology. Strong written and spoken English is required, and candidates must be willing to commute or relocate to Bern, Switzerland for an in-person position; remote work is not available.

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Professors

Senior Lecturer in Digitalisation of Psychology

University Name
Country flag

Switzerland

Research Interests

Clinical Psychology

Statistics

Research Method

Psychometric

Psychotherapy

Professor

University Name
Country flag

Switzerland

Research Interests

Statistics

Clinical Psychology

Psychology

Research Method

Large Language Models