The Department of Human Sciences at Technische Universität Darmstadt has an open position in the Models of Higher Cognition group for a

Research Associate (PhD Student) – 65%

The position has a fixed-term contract for 3 years and is to be filled as soon as possible.


  • Contributing to a DFG-funded project on criterion learning in signal detection theory and its neural underpinnings
  • Psychophysical experiments on perceptual decision-making
  • Development and evaluation of cognitive and neural models


  • Excellent scientific degree (Master or equivalent) in cognitive science, psychology, neuroscience, mathematics, computer science, or related fields
  • Proficient in English
  • Excellent analytic and experimental skills
  • Interest in combining theoretical and experimental research in cognitive science
  • Organizational skills, highly motivated, team-player
  • Experience with programming, machine learning, or statistics

Opportunity for further qualification (doctoral dissertation) is given. The fulfillment of the duties likewise enables the scientific qualifications of the candidate.

The Technische Universität Darmstadt intends to increase the number of female employees and encourages female candidates to apply. In case of equal qualifications applicants with a degree of disability of at least 50 or equal will be given preference. Wages and salaries are according to the collective agreements on salary scales, which apply to the Technische Universität Darmstadt (TV-TU Darmstadt).

Please send applications including CV, letter of motivation, certificates and transcripts, publications, teaching and/or project experience, and one or two work samples (e.g., link to software project, study project report, or MSc thesis) to the dean of the Department of Human Sciences of Technische Universität Darmstadt, Alexanderstraße 10, 64283 Darmstadt (perferably by email in a single PDF document to, please use the reference number below in the header). Informal inquiries can be addressed to Prof. Dr. Frank Jäkel (

Code No. 32

Published on

January 21, 2020

Application deadline

March 01, 2020