PhD Positions (SURE-AI): Up to 3 PhD Research Fellowships are available at Simula Metropolitan Center for Digital Engineering (SimulaMet) for motivated applicants aiming to contribute to innovative research in AI. This initiative is part of the National Norwegian Centre for Sustainable, Risk-averse and Ethical AI (SURE-AI), offering a collaborative research environment with opportunities for impactful contributions in various machine learning topics.
PhD Positions in Foundations and Algorithm Design for Machine Learning (SURE-AI)
Designation
PhD Research Fellowships (3 Positions)
| Category | Details |
|---|---|
| Research Area | Foundations and Algorithm Design for Machine Learning |
| Location | Oslo, Norway |
| Eligibility | Bachelor’s and Master’s degrees in relevant fields (Electrical Engineering, Computer Science, Applied Mathematics) |
| Application Deadline | April 1, 2026 |
Research Area
The positions focus on various interconnected topics within machine learning, including:
- Learning explainable representations in complex data
- Constrained machine learning algorithms
- Efficient methods for scalable and domain-adaptable machine learning
- Generalizable and continual learning methods
Eligibility/Qualification
- BS and MS degrees in relevant fields (Electrical Engineering, Computer Science, Applied Mathematics).
- Strong background in linear algebra, optimization, data science, machine learning, and signal processing.
- Proficiency in programming languages such as Python and/or MATLAB.
- Average GPA of at least B in the BS degree, and A in the MS degree.
- Strong interpersonal and communication skills, with fluency in English.
Description
The selected PhD candidates will work in an interdisciplinary research environment, collaborating with national and international partners. They will engage with various SURE-AI work packages and provide contributions to innovative algorithms for inference and decision-making in AI, ensuring compliance with ethical standards and operational efficiency.
Key Responsibilities:
- Conduct research on assigned topics.
- Collaborate with fellow researchers and industry partners.
- Participate in seminars, workshops, and other related activities.
How to Apply
Interested applicants should submit the following documents in English via the recruitment system:
- Curriculum Vitae, detailing educational background and relevant experience.
- Transcripts for both Bachelor’s and Master’s degrees.
- Cover letter outlining motivation, relevant experience, and research interests.
- Contact information for two references.
Note: Applications submitted via email will not be considered.
Last Date for Application
April 1, 2026
This opportunity is designed for individuals keen on advancing their research careers within a pioneering AI framework, in a supportive and innovative environment. Apply now to contribute to transformative AI solutions!
