Teams at Aalto University

Conduct doctoral research on power system dynamics, focusing on grid-generator interactions, subsynchronous resonance, torsional oscillations, and converter-driven oscillations. Analyze PMU data, develop monitoring and signal-processing methods, build and validate dynamic simulation models, evaluate resonance risks, and assess mitigation strategies. Collaborate with academic researchers and industry partners including TVO and Fingrid.

Conduct research in trustworthy machine learning, focusing on model and pipeline provenance, integrity, adversarial robustness, privacy, fairness, AI/MLBOM, and proof-carrying machine learning. Publish research, present findings, collaborate internationally, and contribute to teaching. Candidates need strong Python and PyTorch skills, applied mathematics expertise, shared-codebase experience, and a completed Master's degree before the contract begins.

Conduct research in quantum algorithms and quantum information, developing hybrid quantum-classical methods for computational problems in bioinformatics, plant breeding, biomaterial synthesis, and enzyme design. Evaluate and benchmark quantum models against classical baselines, publish high-impact research, collaborate across disciplines, supervise PhD students, and contribute to teaching.