The of the Physics Institute, University of Bern, Switzerland, invites applications for a full-time position as a Professor in Planetary Sciences . The Division is a leading institute in space research and is looking for a
The lab of Stephan Hirschi is looking for a highly motivated and curious PhD student to join an interdisciplinary research project in structural biology and molecular parasitology. This full-time PhD position has a duration of four
Joint project between – Pertz Lab () & D. Ginsbourgers Group () We are seeking highly qualified, motivated and creative candidates wishing to join a collaborative project at the interface of statistical machine learning and live-cell
Institute of Sociology, University of Bern Start of employment: or by agreement. Employment is fixed term and limited to four years The Institute of Sociology (IFS) at the University of Bern has a vacancy for a
The Institute for Medical Education (IML) is a center of excellence in medical education. As a university institution, we work in the fields of research, teaching, service and development and supervise projects at the cantonal, national and
Center of Competence for Public Management (KPM) University of Bern, Switzerland Start date: 1 September 2026 (or as soon as possible thereafter) Employment duration: 36 months (MSCA-DN funding) Project & Funding Framework Within the European Unions
The Unit Economic Geography, Institute of Geography, University of Bern, invites applications for a four-year PhD position. The successful candidate will develop and conduct high-quality academic research as part of their doctoral dissertation and contribute to
Department of Economics, University of Bern Start of employment: or by mutual agreement Duration: Up to five years The positions are funded by the Swiss National Science Foundation (SNSF) Starting Grant on Financial Stability in an
PhD Position in Statistics with a focus on Statistical Machine Learning for Self-Driving Microscopy 100% Joint project between – Pertz Lab () & D. Ginsbourgers Group () We are seeking highly qualified, motivated and creative candidates
About the Project We are looking for a fully‑funded Postdoctoral fellow at the University of Bern to work on the atmospheres of transiting sub‑Neptunes. The fellow will contribute to the SNSF‑funded “Exo‑Neptune Census” starting grant led
The University of Bern seeks a researcher to focus on digital demography, coordinating social science data platforms and contributing to the teaching of Bachelor and Master programs. This role requires a PhD in sociology or related fields,
Tasks Research on topics related to intergroup relations, social networks, and deviance Curriculum development and teaching in the Bachelor and Master programs of the department in these areas Collaboration on research projects at the IFS and the
The CAS in Medication Safety at the University of Bern seeks an Assistant Professor (Tenure Track) specializing in Psychological Methods and AI. This full-time role requires developing AI and statistical methods, teaching psychology students, and engaging in
Kanton Bern is seeking a fully‑funded Postdoctoral fellow at the University of Bern for a project on atmospheres of transiting sub‑Neptunes. The fellow will contribute to understanding the formation and evolution of these planets by analyzing
Your profile The ideal candidate would have expertise in applying Bayesian statistical methods to astronomical datasets, experience modelling exoplanetary transits, deep knowledge of atmospheric physics (e.g. chemistry, radiative transfer, etc.), and a proven track record as
The University of Bern is seeking a qualified researcher to focus on intergroup relations and deviance. This role involves curriculum development and teaching in the Bachelor and Masters programs, alongside research collaboration at the IFS. Candidates must
Position Overview Assistant Professor (Tenure Track) in Psychological Methods and Artificial Intelligence (AI), Institute of Psychology, Faculty of Human Sciences, University of Bern. Responsibilities Develop and evaluate AI methods and advanced statistical methods (e.g., machine learning,