PhD Scholarship: Monte Carlo Algorithms: The Donders Centre for Cognition, situated within Radboud University’s Faculty of Social Sciences, invites applications for a fully-funded PhD position focusing on the design and analysis of innovative Monte Carlo algorithms. This position offers a unique opportunity to collaborate with physicists and contribute to pioneering research in computation principles using cutting-edge technology. If you’re passionate about foundational algorithmics, computational complexity, and interdisciplinary collaboration, this position may be the perfect fit for you.
PhD Scholarship: Designing Novel Monte Carlo Algorithms
Location: Radboud University, Netherlands
Eligibility/Qualification:
- Research University Degree in computer science, applied mathematics, artificial intelligence, or a related discipline.
- Strong interest in foundational algorithmics and computational complexity research.
- Proficiency in mathematical knowledge and programming skills, demonstrated through previous research projects.
- Familiarity with Linux and preferably experience in programming low-level languages such as C/C++ and assembly language, or low-level hardware design like VHDL.
- Excellent writing and presentation skills, with a good command of the English language.
- Demonstrated ability in interdisciplinary collaboration, as evidenced in previous academic or professional experiences.
- Knowledge of or experience in Bayesian networks and approximate Bayesian inference is appreciated.
Description: As a PhD candidate in this position, you will be responsible for developing and analyzing Markov Chain Monte Carlo (MCMC) algorithms utilizing novel technology available in specialist labs. Leveraging photonic manipulation, you will explore the computational potential of synchronized stochasticity for approximate Bayesian inference, focusing on energy, time, and space efficiency. Your responsibilities will include algorithm development, implementation, simulation, and theoretical analysis using the mathematical framework of randomised complexity theory. Additionally, you will collaborate with the Probabilistic Graphical Models Group at the Donders Centre for Cognition and contribute to academic teaching and research activities within the institute.
How to Apply: Interested candidates should submit their applications online via the designated button below no later than March 31, 2024. Address your letter of application to Johan Kwisthout, Full Professor. The application should include the following documents:
- Letter of application addressing your interest in the PhD project and your qualifications (please limit to one page).
- Curriculum vitae detailing your education, research experience, programming skills, and any relevant achievements.
- Copies of transcripts and diplomas from your Research University Degree program.
- Any publications or research papers (if available).
- References or recommendation letters (if available).
Last Date for Apply: The application deadline is March 31, 2024.
Don’t miss this exciting opportunity to contribute to groundbreaking research in Monte Carlo algorithms and computational principles. Apply now and join our dynamic and collaborative research environment at Radboud University!
