Postdoctoral Fellowship (2 years): The Department of Mathematics and Mathematical Statistics at Umeå University, Sweden, invites applications for a postdoctoral scholarship in the field of machine learning. The two-year fellowship, starting on June 1, 2024, or by mutual agreement, is part of the project “Generative Mixture of Linear Models by DNN Co-supervision.”
Postdoctoral Fellowship (2 years) within Interpretable Machine Learning
Designation: Postdoctoral Fellow
Research Area: Machine Learning – Interpretable Machine Learning
Location: Umeå University, Umeå, Sweden
Eligibility/Qualification:
- Hold a PhD in a relevant field.
- Background in machine learning with a focus on interpretable models.
- Familiarity with deep neural networks (DNN).
- Strong research capabilities demonstrated through publications.
- Ability to work independently and collaboratively within a research group.
Job Description: The postdoctoral fellow will contribute to the project’s objective of enhancing the interpretability of machine learning models, particularly the Mixture of Linear Models (MLM) approach. The focus includes incorporating sophisticated region-specific models, improving training modules in MLM, and expanding its potential applications. The project aims to create novel algorithms for interpretable machine learning, establishing a platform for the formal study of the relationship between interpretability and prediction accuracy. The successful candidate will be part of the research group on statistical learning and inference for spatiotemporal data at Umeå University, collaborating closely with the Department of Statistics at Penn State University, USA.
How to Apply: Interested candidates should submit their applications, including a CV, cover letter, and contact information for at least two references, through the official application portal.
Last Date for Apply: Until position filled
Tables:
| Job Details | |
|---|---|
| Classification | Machine Learning |
| Department | Mathematics and Mathematical Statistics |
| Contract Type | Full Time, Fixed-Term |
| Duration | 2 years |
| Start Date | June 1, 2024, or by mutual agreement |
| Financing | Kempe Foundations |
| Project Details | |
|---|---|
| Project Title | Generative Mixture of Linear Models by DNN Co-supervision |
| Project Focus | Interpretable Machine Learning |
| Research Group | Statistical Learning and Inference for Spatiotemporal Data |
| Location | |
|---|---|
| University | Umeå University |
| City | Umeå |
| Country | Sweden |
| Eligibility/Qualification | |
|---|---|
| Education | PhD in a relevant field |
| Skills | Machine Learning, DNN, Research Publication |
| Experience | Independent and collaborative research |
| How to Apply | |
|---|---|
| Submission Method | Online Application |
| Documents Required | CV, Cover Letter, Contact Info for References |
