|
PhD,research position,research engineer in academia |
Zinoo Park |
Currently looking for a PhD programme in genetic algorithms/programming or a researcher position where these are applied for next-generation AI. I have a master's degree majoring in data science. I have been working on genetic algorithms since Dec. 2024. |
Worldwide,Asia,Europe,South America |
Australia,France,South Korea,United Arab Emirates,United States |
2026-08-15 |
yes |
|
post-doc |
Fitria Wulandari Ramlan |
I completed my PhD in June 2026 on symbolic regression and genetic programming. My thesis was “Symbolic Regression with Genetic Programming: Synthetic Data Generation and Model Selection for Interpolation and Extrapolation.” Most of my work is about making GP models more reliable when they hit data outside their training range: I built a synthetic data method (using KDE plus NN/RF/GP teacher models) that improved extrapolation performance across benchmark datasets, and ran a large comparison of five model-selection criteria (MSE, AIC, BIC, MDL, PSM) across 20 datasets. I also developed new model-selection penalties for extrapolation and interpolation sensitivity, tested on a real-world energy-system model (ETSAP-TIAM), cutting error by about 98% over baseline. My work has been published at EuroGP (extended version submitted to GPEM by invitation), GECCO, LOD, and ECTA. I currently lead a 7-person research team applying GP surrogate modelling to global energy-system planning, and we’re preparing this work for a journal submission. |
Europe |
Austria,Finland,Netherlands,Norway,Sweden,Switzerland,United Kingdom |
2026-08-01 |
yes |
|
PhD |
Dominic Mashak |
Seeking a PhD position beginning Summer/Fall 2027 in evolutionary computation, optimization, machine learning, AI for science. My research focuses on evolutionary computation for molecular and materials discovery and is expanding toward autonomous discovery through agentic AI. I am developing systems that combine large language models, evolutionary algorithms, surrogate models, and scientific simulation to autonomously generate, evaluate, and optimize candidate materials. I welcome opportunities to collaborate on evolutionary computation, optimization, AI for science, materials discovery, and related interdisciplinary research. (See my short CV for more information) |
Australia and Oceania,Europe,North America |
|
2027-04-30 |
yes |
|
post-doc,teaching position,research position,senior research fellow |
Mohd Danish Rasheed |
I have recently completed my PhD in Computer Science and currently looking for a postdoc position. My doctoral research has resulted in several reputed international journal publications. My thesis is entitled "Heuristic Approaches for Graph Domination Problems". My research interests are Combinatorial Optimization, Multi-objective Optimization, Operations Research, Soft Computing, Evolutionary Computation, Heuristic and Metaheuristic Techniques. As I have been awarded the PhD degree, I am immediately available to join to a postdoc position. |
Worldwide |
|
2028-08-07 |
yes |
|
post-doc |
Timothée ANNE |
My long-term interest is the design and study of adaptive and robust systems in open-ended environments. My current short-term interest is the study of adversarial coevolution. I am open to topics related to quality-diversity, multi-task optimization, evolutionary robotics, body-brain coevolution, and artificial open-ended systems. I would be particularly interested in applications related to sustainability and the green transition. I'm looking for a second post-doc starting before January 1st 2027, preferably (in order of preference) in France, Europe, Japan, or North America. |
Europe,North America |
Canada,France,Japan |
2026-09-30 |
yes |
|
research engineer in academia,research engineer in industry,other positions in industry |
Joshua Hutchinson |
Seeking a research-focussed industry role in San Francisco. Having spent 7 years in consulting before re-discovering academia, Joshua is keen to move into a technical research role either in academia or industry. He loves interesting conversations and would love to connect. |
North America |
United States |
2026-08-31 |
yes |
|
post-doc,research position,research engineer in industry,other positions in industry |
Siddharth Chaturvedi |
Hi, I am a final year PhD candidate looking for the next opportunity My research interests are: 1) Scaling of complex adaptive systems. 2) Collective and Diverse intelligence. 3) Emergence in Multi-agent systems. 4) Vectorization of discrete logic algorithms. I am looking for a research position around these topics in academia or industry. |
Europe |
Belgium,Canada,France,Germany,Netherlands,United Kingdom |
2026-11-30 |
yes |
|
PhD |
Santiago Garcia Mayayo |
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. |
Specific country |
Netherlands |
2026-12-01 |
no |
|
post-doc,research position,research engineer in academia,research engineer in industry |
Yuan Tian |
I am a PhD candidate in Computer Science at Victoria University of Wellington, New Zealand, specialising in evolutionary computation, automated heuristic design, and intelligent scheduling and optimisation. My research focuses on using Genetic Programming (GP) hyper-heuristics to automatically design decision-making rules for complex dynamic scheduling problems across a wide range of domains, including project scheduling, resource-constrained scheduling, and other combinatorial optimisation settings under uncertainty. My recent work also explores surrogate-assisted evolutionary computation, phenotypic characterisation, and the integration of Large Language Models with knowledge learned by evolutionary algorithms. I have experience in developing optimisation algorithms, simulation-based evaluation frameworks, surrogate models, and high-performance research software using Python and HPC environments. My broader interests include evolutionary computation, automated algorithm design, operations research, scheduling, AI-assisted optimisation, and data-driven decision making. I am approaching the completion of my PhD and am seeking research, postdoctoral, research scientist, applied scientist, or optimisation/data science opportunities in academia or industry. I am particularly interested in roles where evolutionary computation and AI can be applied to real-world planning, scheduling, logistics, transportation, manufacturing, or other complex decision-making problems. I am currently based in Wellington, New Zealand, and am open to opportunities in New Zealand, Australia, and internationally. |
Worldwide,Asia,Australia and Oceania |
Australia,Belgium,China,Croatia,Germany,Hong Kong,Japan,Netherlands,New Zealand,Sweden,Switzerland |
2026-09-01 |
yes |
|
post-doc,teaching position,research position,senior research fellow,research engineer in academia,research engineer in industry,other positions in industry |
Alican Mertan |
I am looking for postdoctoral, research, and teaching positions in academia, as well as research roles in industry, where my combination of optimization, machine learning, and embodied AI expertise can be applied to new problems. My interests span evolutionary optimization, embodied intelligence, and the application of evolutionary methods to modern AI systems such as LLMs and multi-agent systems. My work has ranged from analyzing the inner workings of these methods to applying them to practical problems, and I am glad to continue in either direction. I am happy to relocate and available to start immediately. |
North America |
United States |
2027-02-01 |
no |
|
research engineer in academia,research engineer in industry,other positions in industry |
Djedrielle Alexander |
I am currently a final-year computer science undergraduate looking for a machine learning research internship in either academia or industry. |
Worldwide |
|
2026-11-01 |
yes |
|
research position,research engineer in academia,research engineer in industry,other positions in industry |
Pranav Somu |
I'm seeking a research position related to Automated Machine Learning (AutoML), Neural Architecture Search (NAS), or LLMs for optimization. I am a Master of Science in Computer Science student at the Georgia Institute of Technology, expected to graduate in May 2027. My core research focuses on designing algorithms for tuning and discovering machine learning architectures, such as with the help of surrogate models and LLMs, as well as applying these methods to end applications, e.g. physics-informed neural networks for simulation engines. I am particularly interested in roles related to these lines of research. |
North America |
United States |
2027-04-01 |
yes |
|
research position |
Julio Ricardo Barrios Amador |
Undergraduate Computer Science Engineering student at the Costa Rica Institute of Technology (ITCR) seeking research opportunities in Artificial Intelligence, Quantitative Finance, Computational Economics, Financial Machine Learning, Reinforcement Learning, Evolutionary Computation, Optimization, and Data Science. Interested in developing AI-driven models for algorithmic trading, portfolio optimization, financial forecasting, market microstructure analysis, and decision-making under uncertainty. Passionate about interdisciplinary research at the intersection of computer science, finance, economics, and machine learning. Open to research collaborations, internships, and opportunities leading to M.Sc. or Ph.D. studies. |
Asia,Europe,North America |
Canada,China,Germany,Hong Kong,Japan,Netherlands,Singapore,Switzerland,United Kingdom,United States |
2028-12-31 |
yes |
|
PhD |
Fernando Ugalde Green |
Looking for a PhD position in Machine Learning, Deep Learning, and/or Uncertainty Quantification, beginning in 2027. I'm currently finishing my MSc on Computer Science at ITCR in collaboration with the LHCb experiment at CERN. My research focuses on Uncertainty Quantification algorithms (Monte Carlo Dropout, BNNs, Feature Densities) for anomaly detection in Generative Adversarial Networks for high-energy physics simulations, with immediate application to other domains. |
Asia,Europe,North America,South America |
|
2026-10-01 |
yes |
|
research position |
Hibatallah MELIANI |
I am seeking a research internship, preferably for around three months, where I can contribute to projects in evolutionary computation, artificial intelligence, and autonomous systems while expanding my research experience. I am particularly interested in applying genetic and evolutionary algorithms to challenging real-world problems such as robotics, path planning, optimization, and intelligent agents in virtual environments. Through this internship, I hope to collaborate with experienced researchers, develop innovative solutions, and gain practical experience that complements my Ph.D. research while contributing to impactful scientific outcomes. |
Asia,Europe,Middle East and North Africa |
|
2027-02-01 |
no |
|
PhD,research position,research engineer in academia |
Vadim Akhmerov |
I am a recent MSc graduate in Artificial Intelligence (with distinction, ITMO University) and a research engineer at ITMO's Institute of Artificial Intelligence, looking for PhD or research position in academia in North / Western Europe and North America. My work is on the automated generation and optimization of LLM-based multi-agent systems. In my thesis I developed training-free, per-task structural optimization of such systems, including a fully LLM-driven evolutionary method with a judge-ensemble fitness function and an iterative meta-agent regeneration scheme; my first-author paper on evolving multi-agent systems with LLMs was presented at the GECCO 2026 LLMfwEC workshop. I also work on prompt optimization (a GEPA-based module) and model routing, and I maintain open-source optimization software (GOLEM). I am increasingly drawn to a more fundamental question — the limits of corpus-bound agentic systems, and where evolutionary search and interaction with the world, rather than the corpus alone, become necessary to move past the existing frontier. Attending GECCO 2026 in person and glad to talk. |
Europe,North America |
Iceland |
2026-08-31 |
yes |