PhD in Computational Modeling of Semantic Networks, KU Leuven and UHasselt, Belgium

Postdoctoral Fellow in Belgium

PhD in Computational Modeling of Semantic Networks: The Centre for the Psychology of Learning and Experimental Psychopathology (CLEP) at KU Leuven and the Rehabilitation Research Center (REVAL) at UHasselt, Belgium, are offering a joint PhD scholarship focusing on the computational modeling of semantic networks to predict fear behavior differences. This research aims to develop individualized approaches for fear extinction through a better understanding of semantic networks.

Designation

PhD Candidate – Joint PhD Program between KU Leuven and UHasselt

Research Area

  • Fear Conditioning
  • Semantic Cognition
  • Network Science
  • Experimental Psychopathology

Location

KU Leuven and UHasselt, Belgium

Eligibility/Qualification

RequirementDetails
DegreeMaster’s degree in behavioral sciences (preferably psychology with a quantitative focus), physics, or engineering
SkillsExcellent English communication and writing skills
ExperiencePrior experience in mathematical modeling and experimental research
InterestTheoretical interest in learning psychology or semantics is desirable
Software KnowledgeCommitment to open science; experience with R is an asset

Description

The PhD project involves investigating how individual semantic networks influence fear learning and extinction processes. By integrating insights from fear conditioning, semantic cognition, and network science, this project aims to personalize exposure treatments for anxiety-related disorders. The candidate will conduct experimental studies, estimate individualized semantic networks, and explore their relationship with fear generalization, extinction, and reinstatement.

How to Apply

Interested applicants can submit their application through the online application tool. For more information about the application process, you can contact Professors:

  • Filip Raes: filip.raes@kuleuven.be
  • Jonas Zaman: jonas.zaman@uhasselt.be

Last Date to Apply

April 15, 2025 (23:59 CET)

Link

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