PhD in Educational Psychology at UniDistance Suisse UniDistance Suisse in Switzerland

PhD opportunity in Educational Psychology at UniDistance Suisse

The Educational Psychology Lab at UniDistance Suisse is recruiting a Research Assistant (PhD student) in Educational Psychology (80%–100%) based in Brig, Switzerland, starting September 1, 2026 with flexibility. The position is led by Prof. Dr. Tino Endres and focuses on how people learn, understand complex information, and regulate their learning.

The doctoral project should fit within the lab’s research on learning and instruction, with particular attention to cognitive, metacognitive, and motivational processes. The successful candidate will plan, conduct, analyse, and report experimental studies, write scientific papers in English as part of a publication-based dissertation, present at conferences, and may support teaching in learning and instruction or developmental psychology.

This is a structured PhD qualification position with close supervision, mentoring, and support toward completing a dissertation within a four-year contract. The role may be structured as research-only or combined research and teaching assistant work. The lab offers an active, internationally connected research environment, collaboration with partner universities, access to participant recruitment structures, experimental software, open-science infrastructure, student assistant support, and internal funding opportunities.

Eligibility highlights: a master’s degree or equivalent in Psychology, Educational Sciences, or a related field; strong interest in learning and instruction; excellent English; and a self-regulated, reliable, conscientious working style. Helpful extras include experimental research experience, quantitative methods and statistics skills, open-science experience, German and/or French, and teaching or student support experience. Applicants should be residing in Switzerland or planning to relocate there.

Funding and conditions: competitive salary of approximately CHF 71,000–82,000 at 100%, generous social benefits, partial remote work (up to 40%), and a flexible workload of 80%–100%.

Deadline: 30 July 2026. Apply by email with a motivation letter, CV, transcripts, reference contacts, and a brief 600-word research idea describing a potential empirical study and its fit with the lab.