The Department of Computer and Systems Sciences (DSV) is one of the oldest IT departments in Sweden and one of the largest departments at Stockholm University with around 5,000 students and around 190 employees. The discipline of computer and systems sciences bridges the gap between technology and the humanities, social sciences, and behavioral sciences. The use and design of IT is put in context in relation to people, organizations, and society. DSV offers a stimulating research environment in an international setting.
Machine learning techniques have been recently employed in psychology research for identifying generalizable predictors for diagnosis, treatment, and decision support. Moreover, evidence shows that the effectiveness of existing prevention and early intervention approaches is greater when delivered early. Hence, there is an evident need for effective and interpretable machine learning models for the early prediction and prevention of mental disorders. The aims of this project are to use explainable artificial intelligence (XAI) and time-series analytics to
- Systematically document relevant dimensions involved in psychotherapeutic communication, e.g., affective expressions as well as non-verbal communication.
- Investigate interactive patterns and reciprocal effects of non-verbal behavior in dyadic interactions.
- Investigate the effects of non-verbal communication on therapy outcome.
- Investigate the development and processing of the so-called “working alliance” based on non-verbal dyadic communication features.
- Investigate the dynamic features of the “working alliance” as a continuously changing relational tool relevant for treatment outcome.
In order to meet the general entry requirements, the applicant must have completed a second-cycle degree, completed courses equivalent to at least 240 higher education credits, of which 60 credits must be in the second cycle, or have otherwise acquired equivalent knowledge in Sweden or elsewhere.
In order to meet the specific entry requirements, the general syllabus for doctoral studies in the field of Computer and systems sciences stipulates that applicants must have completed courses at second-cycle level in Computer and systems sciences with a minimum of 90 higher education credits, or equivalent, including a thesis with a minimum of 15 higher education credits. In addition, the applicant is required to have English language skills equivalent of Common European Framework of Reference for Languages Level B2.
The qualification requirements must be met by the deadline for applications.
The selection among the eligible candidates will be based on their capacity to benefit from the training. The following criteria will be used to assess this capacity:
- Independence in the analysis and organization of the earlier work
- Problem formulation and rigor in previous work and in the research plan
- Previously shown ability to keep the specified time limits
- Methodological and scientific maturity
- Communication and cooperation skills
- Subject specific knowledge relevant to education.
Admission Regulations for Doctoral Studies at Stockholm University are available at: www.su.se/rules and regulations.
Terms of employment
Only a person who will be or has already been admitted to a third-cycle programme may be appointed to a doctoral studentship.
The term of the initial contract may not exceed one year. The employment may be extended for a maximum of two years at a time. However, the total period of employment may not exceed the equivalent of four years of full-time study.
Doctoral students should primarily devote themselves to their own education, but may engage in teaching, research, and administration corresponding to a maximum of 20 % of a full-time position.
Please note that admission decisions cannot be appealed.
Stockholm University strives to be a workplace free from discrimination and with equal opportunities for all.
For more information, please contact Professor Panagiotis Papapetrou, firstname.lastname@example.org or Director of PhD studies, Åsa Smedberg, studierektorF@dsv.su.se.
Ingrid Lander (Saco-S), telephone: +46 708 16 26 64, email@example.com, Alejandra Pizarro Carrasco (Fackförbundet ST/OFR), telephone: +46 8 16 34 89, firstname.lastname@example.org, email@example.com (SEKO), and PhD student representative, firstname.lastname@example.org.
Apply for the PhD student position at Stockholm University’s recruitment system. It is the responsibility of the applicant to ensure that the application is complete in accordance with the instructions in the advertisement, and that it is submitted before the deadline.
Please include the following information with your application
- Your contact details and personal data
- Your highest degree
- Your language skills
- Contact details for 2–3 references
and, in addition, please include the following documents
- Cover letter
- CV – degrees and other completed courses, work experience and a list of degree projects/theses
- Project proposal/Research proposal describing:
– why you are interested in the field/project described in the advertisement
– why and how you wish to complete the project
– what makes you suitable for the project in question
- Degree certificates and grades confirming that you meet the general and specific entry requirements (no more than 6 files)
- Letters of recommendation (no more than 3 files)
- Degree projects/theses (no more than 6 files).
The instructions for applicants are available at: How to apply for a position.
You are welcome to apply!
Stockholm University contributes to the development of sustainable democratic society through knowledge, enlightenment and the pursuit of truth.
Deadline: 2023-04-15 at 23:59
Unit: Department of Computer and Systems Sciences
Read the job description at the university homepage or apply.
Post expires on Saturday April 15th, 2023
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