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Doctoral Position in the area of Psychology

The Cluster of Excellence Living, Adaptive and Energy-autonomous Materials Systems (livMatS) is offering a Doctoral Position in the area of Psychology | term for filing application: 24.02.2019
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The Cluster of Excellence Living, Adaptive and Energy-autonomous Materials Systems (livMatS) is offering a

Doctoral Position in the area of Psychology
Part-time position (65 %), Start-date: 01.04.2019

The Cluster of Excellence livMatS develops completely novel, bioinspired materials systems that adapt autonomously to various environments and harvest clean energy from their surroundings. The intention of these purely technical – yet in a behavioral sense quasi-living – materials systems is to meet the demands of humans with regard to pioneering environmental and energy technologies. The societal relevance of autonomous systems and their sustainability will thus play an important role in their development. The research program of livMatS is characterized by highly interdisciplinary collaboration between researchers from a broad range of fields including engineering, chemistry, physics, biology, psychology, the humanities, and sustainability sciences.


Evaluations and behavioral decisions constitute essential, complex cognitive and affective psychological processes with many determining factors. Consequently, we expect a multitude of factors to have an impact on the acceptance of living materials systems. We will apply multi-method approaches to develop and validate computational models predicting acceptance of living materials systems. Our focus is on the development of new approaches to acceptance research, especially towards the prediction of acceptance of technical systems which do not exist yet.


In this project, we aim to advance “Cognitive Affective Maps” (CAMs), a novel approach to predict acceptance based on cognitive and affective factors. In detail, we will first create a suitable software package in order to use CAMs for data collection. Second, we will scrutinize different ways for data aggregation of large samples of participants and we will implement these options in the software package. Third, we will validate CAMs assessing a coherent cohort (students). The projects entails preparation, implementation and evaluation of experimental studies as well as the development, construction, and evaluation of computerized models.


Expected candidate profile:

  • Degree in Psychology, Computer Sciences or Cognitive Sciences (diploma / master).
  • Good skills in methods and statistics.
  • Very good social, organizational and communication skills.
  • Ability to work both independently as well as in a team.
  • Willingness and interest to tread new conceptual and methodological ground in interdisciplinary  cooperation with other projects within the cluster of excellence.
  • Very good English skills.
  • Programming skills, especially for the development of computer models, e.g. artificial neural networks, would be an asset.

Please hand in:

  • Letter of intent detailing why you are interested in this specific project and how your previous research qualifies you for the project (up to 1,500 words)
  • Curriculum Vitae with list of publications (if applicable)
  • Certified copies of your university degree(s) with grades (BA and MA certificate / Diploma certificate and transcript)
  • Short summary of your master’s thesis (up to 1,000 words)
  • Work sample (chapter from recent thesis or journal article, up to 5,000 words)
  • Suggestion of two referees with contact details

Your documents will not be returned after the application process. For this reason, please submit copies only.

The position is limited to 31.03.2022. The salary will be determined in accordance with TV-L E13.
We are particularly pleased to receive applications from women for the position advertised here.

Please send in a complete and convincing application the above-mentioned supporting documents including the reference number 00000293, by date 24.02.2019 at the latest. Please send your application to the following address in written or electronic form:
Albert-Ludwigs-Universität Freiburg
Dr. Monika Schulz
Freiburger Zentrum für interaktive Werkstoffe und bioinspirierte Technologien (FIT)
Georges-Köhler-Allee 105
D-79110 Freiburg
Kennwort: livMatS

E-Mail (one single pdf file):
positions@livmats.uni-freiburg.de AND andrea.kiesel@psychologie.uni-freiburg.de
For further information, please contact Frau Prof. Dr. Andrea Kiesel on the phone number +49 761 203-97741 or E-Mail andrea.kiesel@psychologie.uni-freiburg.de.
General and legal remarks:
Full-time positions may generally be split up into two or more part-time positions, provided that there are no formal or legal barriers. Candidates are selected in accordance with the provisions of the AGG (Allgemeines Gleichbehandlungsgesetz - German General Equal Treatment Act).
Applicants with disabilities (Schwerbehinderte Menschen) will be given preferential consideration in case of equal qualification.
The department offering the position is liable for the content of this job posting. Textual errors do not constitute a basis for any claims or rights. The relevant human resources department has sole responsibility for all legal transactions made within the context of the selection and hiring process.
Please note that breaches in privacy and unauthorized access by third parties cannot be excluded in communication by unencrypted email.
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