Summary: Linköping University is inviting applications for a PhD position focused on the intersection of computational statistics and machine learning. The research aims at developing innovative models and methods with a key emphasis on differential equation-driven frameworks.
PhD Scholarship in Statistics and Machine Learning at Linköping University
Designation:
PhD Student in Statistics and Machine Learning
Table:
| Parameter | Details |
|---|---|
| Research Area | Computational Statistics, Machine Learning, Differential Equations |
| Location | Linköping University, Sweden |
| Eligibility/Qualification | Master’s degree in applied mathematics, statistics, machine learning, control, computer science, or related fields; proficiency in English; collaborative skills |
| Job Description | Develop models for generative sampling and Bayesian inference; contribute to teaching and departmental duties (up to 20% of full-time); work under the supervision of Assistant Prof. Zheng Zhao and Prof. Fredrik Lindsten |
| How to Apply | Submit a cover letter, CV, transcripts, a copy of Master’s thesis, and contact details of referees through the application link. |
| Last Date to Apply | April 10, 2026 |
Research Area:
The position emphasizes developing computationally efficient and statistically principled models, particularly in generative sampling and Bayesian inference. Key topics include differential equation-based frameworks, generative diffusion models, and advanced Bayesian methods.
Location:
The position is based at the Division of Statistics and Machine Learning (STIMA), Department of Computer and Information Science, Linköping University, Sweden.
Eligibility/Qualification:
- A Master’s level degree in relevant fields.
- Courses totaling a minimum of 240 credits, with at least 60 in advanced studies.
- Strong communication skills in English (both spoken and written).
- Solid background in mathematics and statistics.
- Experience with statistical machine learning models, programming in Python, and familiarity with JAX/Julia is advantageous.
Job Description:
The main responsibilities include:
- Conducting doctoral studies and engaging in relevant research projects.
- Developing new models and methods for generative sampling and Bayesian inference.
- Teaching and participating in departmental duties not exceeding 20% of the full-time workload.
How to Apply:
Interested candidates should apply by clicking the “Apply” button on the job webpage. The application must include:
- A cover letter (max 1 page) outlining motivation and fit for the position.
- Curriculum vitae.
- Transcripts for Bachelor’s and Master’s studies in English.
- A copy of the Master’s thesis (or a description of current thesis work if not yet completed).
- Contact details for referees (and reference letters if available).
Last Date to Apply:
Applications must be submitted by April 10, 2026. Late applications will not be considered.
For more information and to apply, visit the Linköping University Job Page.
