Doctoral or Postdoctoral Researcher; iSearch Lab

Doctoral Candidate or Postdoctoral Researcher (iSearch Lab)

Join to apply for the Doctoral Candidate or Postdoctoral Researcher (iSearch Lab) role at Technische Universität München (Technical University of Munich).

Job title: Doctoral Candidate or Postdoctoral Researcher

Location: Technical University of Munich, Munich, Germany

Contract type: Full‑time Employment Contract

Duration: Doctoral Candidate: 36 months;
Postdoctoral Researcher: 24 months (can be extended to 36 months)

Salary:

• Doctoral Candidate: TV‑L E13, 65%
• Postdoctoral Researcher: TV‑L E13, 100%

Final date to receive applications: 23 November 2025

Expected start date: February–May 2026

The iSearch Lab, led by Prof. Dr. Dr. Azzurra Ruggeri, investigates how children and adults actively seek, select, and evaluate information to learn about the world. The lab combines behavioral, computational, and cross‑cultural approaches to study curiosity, exploration, and reasoning across the lifespan, with a particular emphasis on ecological active learning—how learners interact dynamically with their environments to acquire knowledge and make decisions.

This is an open‑topic position for doctoral or postdoctoral researchers who wish to pursue their own research ideas within the broad thematic areas of the lab. Rather than focusing on a predefined project, the position offers the opportunity to develop and conduct independent research that aligns with the lab’s interests in active learning, information search, decision‑making, and cognition from a developmental perspective.

The successful candidate will collaborate closely with Prof. Ruggeri and an interdisciplinary, international team, contributing to a creative and supportive research environment. We especially welcome applicants whose research ideas or methodological expertise bring new perspectives or complement existing projects, further advancing the lab’s mission to understand how humans learn, decide, and explore.

• Educational
  
  Qualification:
  
  
  • Doctoral Candidate:
    Applicants must hold, or expect to obtain, a diploma or master’s degree (or equivalent) in Psychology, Cognitive Science, or a closely related discipline before the start date.
  • Postdoctoral Researcher:
    Applicants must have completed, or be about to complete, a PhD (doctoral degree) in Psychology, Cognitive Science, or a related discipline.
• Nationality: Open to all nationalities. Candidates should be able to work independently and possess excellent written and spoken English skills.
• Full‑Time Commitment: The position requires full‑time commitment with a physical presence eworking is not permitted. Candidates must reside in Munich or be willing to relocate to Munich.
• Educational Background/Training: The ideal candidate needs to hold (or expect to hold by the start date) a diploma or master’s degree in Psychology, Cognitive Science, or related disciplines. Experience in studying information search and active learning is desirable, as well as knowledge of behavioral coding programs (e.g., Datavyu) and mastery of statistical methods and programming languages (e.g., R, Python). Experience with online data collection and survey platforms (e.g., Qualtrics) is highly valued.

• Application Submission: Applications must be submitted by 23 November 2025.
• Selection Criteria: Candidates will be evaluated based on academic background, research experience, and alignment with the lab’s research agenda. The process is open, transparent, merit‑based, impartial, and equitable.
• Interview: Shortlisted candidates will be invited for a structured interview with predefined questions and a scoring system.
• Reserve List: A reserve list of top candidates may be created for future opportunities.
• Selection Committee: The committee will include diverse experts ensuring gender balance, nationality diversity, and relevant experience.

• Salary in accordance with TV‑L E13, with the doctoral candidate compensated at 65% and the postdoctoral researcher at 100%.
• Full coverage under Germany’s social security and pension schemes.
• Access to high‑quality training, networking opportunities, and career development support.
• Opportunity to…