PhD Scholarship in Mathematical Statistics: Join us at the University of Twente as a fully-funded PhD candidate in the exciting field of Mathematical Statistics and Machine Learning Theory. Develop innovative mathematical frameworks to revolutionize statistical methodology for modern data analysis practices.
Fully Funded PhD Scholarship in Mathematical Statistics and Machine Learning Theory
Designation: PhD Candidate
Research Area: Mathematical Statistics and Machine Learning Theory
Location: University of Twente, Netherlands
Eligibility/Qualification:
- Master’s degree in (applied) mathematics or a related field with a strong theoretical mathematical component
- Proficiency in English (C1 level or above, equivalent to IELTS 7)
- Scientific programming skills (e.g., R, Python, C++, Julia) are advantageous
Job Description:
- Delve into novel developments in mathematical statistics and machine learning theory
- Explore closed testing, bandits, and e-value theory in hypothesis testing
- Collaborate with Dr. Rianne de Heide on developing cutting-edge mathematical foundations
- Embrace a diverse and inclusive research environment promoting work-life balance
How to Apply:
- Submit your application through the ‘Apply now’ button on the University of Twente website before August 1.
- Include:
- CV
- Motivation letter
- List of publications (if applicable)
- Contact Dr. Rianne de Heide (r.deheide@utwente.nl) for more information about the position.
Last Date for Apply: August 1, 2024
Don’t miss this opportunity to be at the forefront of transforming statistical methods in the data-driven age. Apply now for a chance to contribute to groundbreaking research and advance your career in a dynamic academic environment.
