The Department of Mathematics and Computer Science at the University of Southern Denmark (SDU) invites applications for a fully funded PhD position in AI and Optimization, focusing on developing parallel portfolio solvers for NP-hard problems. This position is part of the research project “Parallel Portfolio of Parallel Solvers,” led by Prof. Jacopo Mauro, and offers a unique opportunity to work on groundbreaking strategies in algorithm design, parallel computing, and optimization.

Your Responsibilities

As a PhD candidate, you will:

• Research innovative methods for combining parallel solvers in portfolio-based approaches.
• Explore the trade-offs between computational resource usage and solving efficiency.
• Leverage advanced AI techniques, statistical modeling, and heuristic methods to enhance solver performance.
• Collaborate with a vibrant international research network of AI, optimization, and parallel computing experts.
• Publish findings in peer-reviewed journals and present your work at international conferences.
• Contribute to teaching activities as part of your professional development.

Eligibility Requirements

We are hiring highly motivated candidates who meet the following criteria:

• Educational Background:
  • An MSc in Computer Science or a related field (or completion of at least 1 year of an MSc for a 4-year PhD track).
• Expertise in one or more of the following areas:
  • Parallel computing and resource allocation strategies.
  • AI-based techniques (e.g., Random Forests, Gaussian Processes, Reinforcement Learning, Feature Selection, Optimal Stopping, Multi-armed bandit).
  • Heuristic and rule-based optimization methods.
  • DevOps and distributed system development.
• Strong programming skills and a keen interest in algorithm design and optimization.
• Excellent communication skills in English, both written and spoken.

What We Offer

• A fully funded PhD position with a competitive salary.
• Duration:
  • 3 years for candidates with a completed MSc.
  • 4 years for candidates with 1 year of MSc studies completed.
• State-of-the-art research facilities in a collaborative and international working environment.
• Access to an ambitious and innovative research community within the Artificial Intelligence, Cybersecurity, and Programming Languages (ACP) section.
• Opportunities for professional development through teaching and attending conferences.

Application Process

• Deadline: Applications must be submitted by 15 February 2025, 23:59 local Danish time.
• Required Documents:
  • A cover letter explaining your motivation and fit for the position.
  • Detailed CV including academic achievements and relevant experience.
  • Copies of academic transcripts and relevant certificates.
  • Contact details of two academic referees.

How to Apply:

Applications must be submitted online through the official SDU recruitment platform.