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Are you passionate about science and want to contribute to the future of personalized psychotherapy? Are you curious about how symptoms evolve during treatment, and do you want to investigate how clinical data collection and network models can improve clinical decision-making? Then this is your opportunity.
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Are you passionate about science and want to contribute to the future of personalized psychotherapy? Are you curious about how symptoms evolve during treatment, and do you want to investigate how clinical data collection and network models can improve clinical decision-making? Then this is your opportunity.
“From Diagnosis to Dynamics: The Use of (Dynamic) Symptom Networks in Psychotherapy”, conducted within the New Science of Mental Disorders (NSMD) consortium - a national collaboration focused on integrating innovative research methods into mental healthcare.
These projects aim to investigate whether personalized symptom networks, based on Ecological Momentary Assessment (EMA), provide added value compared to traditional DSM-5-based treatment indications. We will examine what clinically relevant information is contained in different types of networks, such as EMA networks and causal symptom networks (PECAN), and how this can lead to better treatment choices and outcomes. Additionally, we will evaluate whether regularly updating these networks during therapy contributes to more effective and better-tailored treatment.

“From Diagnosis to Dynamics: The Use of (Dynamic) Symptom Networks in Psychotherapy”, conducted within the New Science of Mental Disorders (NSMD) consortium - a national collaboration focused on integrating innovative research methods into mental healthcare.
These projects aim to investigate whether personalized symptom networks, based on Ecological Momentary Assessment (EMA), provide added value compared to traditional DSM-5-based treatment indications. We will examine what clinically relevant information is contained in different types of networks, such as EMA networks and causal symptom networks (PECAN), and how this can lead to better treatment choices and outcomes. Additionally, we will evaluate whether regularly updating these networks during therapy contributes to more effective and better-tailored treatment.
What are you doing to do… (divided across two projects)
· Construct and analyze dynamic symptom networks to gain insight into change processes during therapy;
· Simulate how data properties, such as (shifting) means and variances, are reflected in network structures;
· Develop a taxonomy of elements in symptom networks and their relevance for clinical theory (development);
· Investigate whether networks co-created with therapists and patients (PECAN method) lead to different treatment decisions compared to purely data-driven networks;
· Evaluate whether periodically updating PECAN networks during therapy leads to better treatment outcomes compared to using a one-time network;
· Collaborate with therapists within an ongoing clinical study (the Patient Mapping Study of the NSMD consortium), translate findings into scientific publications, and contribute to the implementation of network methodology in clinical practice.
This is a temporary position for 38 hours per week. The initial contract is for one year. Following a positive evaluation and unchanged circumstances, the contract will be extended for up to 36 months, ultimately leading to the completion of a PhD.
We will develop a training plan, which includes attending courses and (international) conferences. You will also contribute to teaching at the bachelor level.
The UFO profile “PhD candidate” applies.
What are you doing to do… (divided across two projects)
· Construct and analyze dynamic symptom networks to gain insight into change processes during therapy;
· Simulate how data properties, such as (shifting) means and variances, are reflected in network structures;
· Develop a taxonomy of elements in symptom networks and their relevance for clinical theory (development);
· Investigate whether networks co-created with therapists and patients (PECAN method) lead to different treatment decisions compared to purely data-driven networks;
· Evaluate whether periodically updating PECAN networks during therapy leads to better treatment outcomes compared to using a one-time network;
· Collaborate with therapists within an ongoing clinical study (the Patient Mapping Study of the NSMD consortium), translate findings into scientific publications, and contribute to the implementation of network methodology in clinical practice.
This is a temporary position for 38 hours per week. The initial contract is for one year. Following a positive evaluation and unchanged circumstances, the contract will be extended for up to 36 months, ultimately leading to the completion of a PhD.
We will develop a training plan, which includes attending courses and (international) conferences. You will also contribute to teaching at the bachelor level.
The UFO profile “PhD candidate” applies.
You will be employed at the Department of Psychology at the University of Amsterdam, within the Clinical Psychology program group. In addition, you will be part of the newly established Amsterdam NSMD Lab (PI: Prof. Dr. Merel Kindt) and affiliated with the New Science of Mental Disorders consortium.
You will be employed at the Department of Psychology at the University of Amsterdam, within the Clinical Psychology program group. In addition, you will be part of the newly established Amsterdam NSMD Lab (PI: Prof. Dr. Merel Kindt) and affiliated with the New Science of Mental Disorders consortium.
If you recognize yourself in this profile and are interested in the position, we look forward to receiving your motivation letter (maximum one page), CV and the name of two referees (working in academia) as a PDF file. You can apply via the red button until April 14, 2026. Interviews will take place on May 6 or 7.
For questions about the position, please contact:
Dr. Tessa Blanken ([email protected])
Dr. Marie Deserno ([email protected])
If you recognize yourself in this profile and are interested in the position, we look forward to receiving your motivation letter (maximum one page), CV and the name of two referees (working in academia) as a PDF file. You can apply via the red button until April 14, 2026. Interviews will take place on May 6 or 7.
For questions about the position, please contact:
Dr. Tessa Blanken ([email protected])
Dr. Marie Deserno ([email protected])
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