Type of position: PhD
Name: Santiago Garcia Mayayo
Description: Recent MSc graduate in Computer Science (Foundations of Computing) from Leiden University, with a BSc in Mathematics. Seeking a PhD position in evolutionary computation and optimisation. My MSc thesis introduced a surrogate-assisted approach that learns the Pareto front directly in objective space to guide decomposition-based multi-objective search at zero additional function evaluations. Research interests: multi-objective optimisation, surrogate-assisted and Bayesian optimisation, evolutionary algorithms, benchmarking, and automated/landscape-aware algorithm design. Strong mathematical background and teaching experience as a TA for Evolutionary Algorithms and Multi-objective Optimization and Decision Analysis at Leiden.
Short CV:
Education:
MSc Computer Science (Foundations of Computing), Leiden University, 2024–2026, GPA 9.04, expected summa cum laude.
BSc Mathematics, Complutense University of Madrid, 2020–2024.
MSc Thesis:
Surrogate-assisted multi-objective optimisation (SA-MOEA/D-AWA), graded 9/10. Supervised by Dr. Hao Wang and Dr. Elena Raponi (Natural Computing group, LIACS). Learned the Pareto front directly in objective space with surrogate models to adapt MOEA/D's reference vectors at zero additional function evaluations.
Teaching:
TA for Evolutionary Algorithms and Multi-objective Optimization & Decision Analysis, Leiden University.
Skills & Interests:
Python (PyTorch, NumPy, SciPy). Interests: multi-objective and surrogate-assisted optimisation, evolutionary computation, Bayesian optimisation, benchmarking, and automated algorithm design.
Email: santi.garciamayayo@gmail.com
ORCID:
Web page: https://www.linkedin.com/in/santiago-garcia-mayayo/
Other link:
General location: Specific country
Specific countries: Netherlands
Until when: 2026-12-01
Present at next GECCO? no