PhD Fellowship in Machine Learning: Uppsala University invites applications for a PhD position focusing on sequential decision-making in machine learning. This position offers an opportunity to work in a dynamic, international environment with support from experienced colleagues. Funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP), this project aims to develop theory and methods for adaptive decision-making based on real-time data collection. The successful candidate will contribute to interdisciplinary research in collaboration with leading institutions worldwide.
PhD Fellowship in Machine Learning: Sequential Decision-Making
Study Area: Machine Learning, Sequential Decision-Making, Artificial Intelligence
Location: Uppsala University, Uppsala, Sweden
Eligibility/Qualification:
- Master’s degree (second-cycle) in engineering physics, electrical engineering, applied mathematics, mathematical statistics, or related field
- Strong background in statistical learning and proficiency in programming (Python, Julia, or Matlab)
- Excellent communication skills in English, both written and oral
- High academic performance and creativity in problem-solving
- Prior coursework or experience in machine learning, optimization, signal processing, or control theory is advantageous
Description: The PhD project will focus on advancing theory and methods for sequential decision-making in various applications, such as adaptive experiment design and resource management. The candidate will collaborate with supervisors and international partners to address real-world challenges in industries, utilities, and healthcare. The position offers opportunities for interdisciplinary research, professional development, and international networking within the framework of WASP.
How to Apply: Interested candidates should submit the following documents by email to the specified contacts:
- Statement of motivation (up to 2 pages) explaining the applicant’s interest and suitability for the position
- Curriculum Vitae (CV)
- Transcripts of records with grades (translated to English or Swedish)
- Master’s thesis or draft, publications, and other relevant documents
- Contact information for references, including up to two letters of recommendation Applicants should indicate their earliest possible starting date of employment.
Last Date: May 15, 2024
For further information about the position, prospective applicants can contact Associate Professor Dave Zachariah (dave.zachariah@it.uu.se) or Associate Professor Per Mattsson (per.mattsson@it.uu.se).
The employment is temporary, full-time, according to the Higher Education Ordinance. The starting date is August 15, 2024, or as agreed upon.
