Are you enthusiastic about experimental psychopathopology/Computational Psychiatry, advanced quantitative methods and research with clinical impact? Then this PhD position may be a good fit for you.
In this project we will investigate how individual differences in cognitive mechanisms needed for learning from therapy predict success of psychotherapy for depression. Our goal is to optimise treatments for depression by matching individuals to specific therapeutic procedures based on individual learning capacities of depressed people between 18-25 years of age.
Your job In the position of PhD candidate, you are responsible for conducting research studies (including design, data collection, and data analysis) and publishing about the findings. You will present your findings at national and international conferences, and you will be part of the
Postgraduate School for Experimental Psychopathology. You will get to chance to be embedded within a broad international network, including experts in experimental psychopathology, psychometrics and computational psychiatry. The supervisory team for the PhD project comprises Dr Geert-Jan Will, Dr Sanne Bruijniks, Professor Iris Engelhard, and Professor Jaap Denissen. You will be a member of
Utrecht’s Experimental Psychopathology lab.
The project has three aims:
- identifying reliable neurocognitive markers that are important for learning from psychotherapy (through combing neurocognitive tasks with computational models of brain and cognition);
- investigating whether individual differences in neurocognitive markers can predict successful learning from distinct psychotherapeutic procedures;
- investigating whether matching depressed individuals to specific psychotherapeutic procedures based on their neurocognitive profiles can improve treatment outcomes (i.e., greater reduction of depressive symptoms).
The primary responsibilities include:
- designing research studies (including stimulus/task development and programming experiments);
- recruitment and collection of human subject data from people with subclinical levels of depression;
- processing and analysing data;
- writing manuscripts for publication;
- writing a dissertation.