Umea University PhD positions in Statistics offer funded doctoral research in the project “Next-Generation Latent Variable Models for Social Data Science” focusing on statistical theory, methodology and computational methods. The PhD position is fully funded for four years with possible teaching/consulting duties up to 20% of time.
The positions are hosted by Umeå School of Business, Economics and Statistics (USBE) at Umeå University. USBE is AACSB-accredited and conducts research and doctoral education across business, economics and statistics with close societal collaboration and regional engagement.
Umea University PhD Benefits
- The PhD position is fully funded for the duration of four years.
- PhD students may be appointed to teaching and/ or consulting duties up to 20% of their time.
- Temporary position
- 100%
- Place Umeå
Umea University PhD Eligibility Criteria
- Applicants should have a degree awarded at the advanced level with a major in Statistics (or equivalent qualifications).
- The student must have satisfactorily undertaken courses in Mathematics equivalent to at least 30 ECTS credits.
- Applicant should have a strong quantitative background, for example in statistics, mathematics, computer science, or a related field.
- Very good programming skills.
- A demonstrated interest in statistical modelling, and a strong motivation to develop statistical methodology for societally relevant questions.
- Demonstrated theoretical and applied knowledge in statistical machine learning, including its implementation, is a particularly strong merit.
How to Apply for Umea University PhD
- A letter of application with a motivation describing your research interests and how they are relevant for this position.
- A Curriculum Vitae.
- Form “New PhD” which you can find here: https://www.hh.umu.se/emp/newPhD.docx
- Copies of undergraduate and graduate theses.
- Copies of relevant degree certificates and other documentation you wish to include in support of your application.
- The names, with contact details and e-mail addresses, of at least two reference persons.
- The application is to be submitted on the University recruitment system no later than November, 4, 2026.
Frequently Asked Questions (FAQs)
Here are the most frequently asked questions about the Umea University PhD Scholarship 2026. These answers cover eligibility, benefits, deadlines, admission dates, application documents, and contact information based on the official posting.
What is the research project for Umea University PhD positions?
The positions are for the project “Next-Generation Latent Variable Models for Social Data Science” led by PhD Gabriel Wallin. The project aims to develop statistical theory, methodology, and computational methods for latent variable models and their connections to modern machine learning, with applications to large-scale social science data and collaborations with external partners.
Are these PhD positions funded and for how long?
Yes. The PhD position is fully funded for the duration of four years. PhD students may be appointed to teaching and/or consulting duties up to 20% of their time, which can prolong the duration to guarantee four years of graduate studies. The starting date is January 1, 2027, or upon agreement.
What is the application deadline?
The application deadline is 4 November 2026. The application must be submitted on the University recruitment system no later than that date. The posting explicitly lists the application deadline as 2026-11-04.
What are the formal admission/start dates?
Admission/start information indicates the latest date for starting studies is September 1, 2027, and the advertised starting date for the position is January 1, 2027, or upon agreement. Admission is noted as 1 september 2026 or according to agreement in the information box.
What academic qualifications are required?
Applicants should have a degree awarded at the advanced level with a major in Statistics or equivalent qualifications. Additionally, applicants must have satisfactorily undertaken courses in Mathematics equivalent to at least 30 ECTS credits. Assessments are based on qualifications and ability to benefit from doctoral-level education.
What skills and experience are considered important?
The applicant should have a strong quantitative background in statistics, mathematics, computer science, or a related field, very good programming skills, demonstrated interest in statistical modelling, and strong motivation to develop statistical methodology for societally relevant questions. Knowledge and implementation experience in statistical machine learning is a particularly strong merit.
What documents must be included in the application?
The application should include a letter of application describing research interests and relevance, a Curriculum Vitae, the New PhD form (linked in the posting), copies of undergraduate and graduate theses, copies of relevant degree certificates and supporting documentation, and the names and contact details of at least two reference persons.
Where should I submit my application?
Applications are to be submitted on the University recruitment system. The posting provides an application link to the recruitment site (varbi) and states that the application must be submitted on that system by the deadline of 4 November 2026.
Who can I contact for more information?
For further information, contact PhD Gabriel Wallin at [email protected] or Professor Marie Eriksson (Director of doctoral studies) at [email protected]. Contact names and a phone number for Marie Eriksson (+46(0)90-7866108) are provided in the posting.
Are there any visa or residence permit considerations?
The posting states that if a residence permit is required for your stay in Sweden, the university reserves the right to revoke admission if you are not granted a residence permit or cannot present a valid permit before the study start date. Applicants should ensure they can obtain necessary permits before starting their studies.
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