Postdoc in depression and network modelling

The Department of Psychology, University of Southern Denmark, Odense, at the Faculty of Health Sciences, invites applications for a postdoctoral fellowship within the research areas of depression, clinical psychology, and network modelling. The Department of Psychology is a vibrant, inclusive workplace hosting an engaged group of faculty, postdocs and PhD students. The department has close collaborations with the Odense University Hospital and its research covers a wide range of health-related topics and methodologies.

The position and the project

The postdoc position is for 2 years, with a possible 3rd year extension, starting on the 15th of March 2023 or soon thereafter. The focus of the position is on developing models that map how everyday psychological distress symptoms interact through time with a person’s activities, mental abilities and life events to lead to depression, in both people who have never been depressed before and those currently in recovery from depression.

We are looking for a highly motivated and ambitious candidate with an interest in the area of quantitative methods, clinical psychology, and network theory of psychopathology. The candidate should have experience with network modelling and programming. Experience with systematic reviews and meta-analysis is an asset, but not a prerequisite for the position.

The successful candidate will work on the project “Dynamic network modelling of depression: towards personalised treatment targets” funded by the Lundbeck Foundation. The successful candidate  will join a research group with an expertise in clinical psychology, psychiatry, mathematical modelling and statistics, led by Associate Professor Maria Semkovska in a collaboration between the Department of Psychology, the Odense University Hospital and the Danish Twin Research Center.

Required qualifications

• PhD in epidemiology, psychology, public health, psychiatry or a connected field

• Excellent research track record, including at least two first-authored peer-reviewed publications related to network modelling, network theory and/or network meta-analyses.

• Fluency in programming as needed for network analyses (e.g., R/python)

• Strong analytical, organisational, and record-keeping skills

• Willingness to collaborate with internal and external collaborators as well as support the project’s research group members

• Proficiency in spoken and written English

We offer

• The possibility to engage in high-impact, multidisciplinary research

• A dynamic, diverse and international research environment that values collaboration among colleagues

• An initial contract for two years, with the possibility of extension for another year

• Flexibility in planning working hours

• Advanced training opportunities

• For international candidates, support with practical, and social aspects (e.g., housing, researcher taxation etc.) through our international staff office (ISO) (https://www.sdu.dk/en/om_sdu/international_staff)

• For the right candidate, there will be possibilities to influence the project and develop new project ideas within the project frame.

Further information

For questions regarding the position, please contact Associate Professor Maria Semkovska (msemkovska@health.sdu.dk ).

Employment

The successful applicant will be employed in accordance with the agreement between the Ministry of Finance and the Danish Confederation of Professional Associations.

Application procedure

Applications must be in English and submitted electronically using the link “Apply online”.

The attached files must be in Adobe PDF or Word format. Each box can only contain a single file of max. 10 Mb.We strongly recommend that you read “How to apply” before you apply – see below

Applications will be assessed by an expert committee. The application must  include:

• A letter of motivation (max 2 pages)

• A curriculum vitae

• PhD diploma or, for soon to be graduating PhD students – a positive assessment of the PhD thesis defence certificate

• List of publications indicating the publications attached

• Examples of the most relevant publications (max three).

Only applications submitted online and written in English will be accepted for evaluation. Incomplete applications and applications received after the deadline will neither be considered nor evaluated. Applications may be shortlisted.

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

Further details

How to apply