PhD Position in Machine Learning: The Dutch Institute for Fundamental Energy Research (DIFFER) is offering a PhD position focused on the development of machine learning models to enhance research in autonomous Self-Driving Labs (SDLs) for energy materials. This innovative research aims to improve the speed, accuracy, and reproducibility of energy materials discovery through advanced AI techniques.
PhD Position in Machine Learning for Self-Driving Labs
Designation
PhD Researcher in Machine Learning for Self-Driving Labs
Research Area
- Machine Learning
- Autonomous Systems
- Energy Materials Research
Location
Eindhoven, Netherlands (De Zaale 20, DIFFER & TU Eindhoven)
| Detail | Information |
|---|---|
| Kind of Contract | Temporary |
| Working Hours | 1 FTE |
| Level of Education | MSc |
| Level of Experience | Junior |
| Scale | PhD |
| Vacancy ID | 1132453 |
| Publication Date | December 19, 2024 |
| Closing Date | January 31, 2025 |
Eligibility/Qualification
- Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field.
- Proven machine learning experience through projects, research, or competitions.
- Practical experience with ML/DL libraries such as scikit-learn, TensorFlow, or PyTorch.
- Proficiency in Python programming.
- Preferred qualifications:
- Experience in Bayesian Optimization (BO), Reinforcement Learning (RL), Causal Learning (CL), computer vision, or signal processing.
- Experience with generative modeling techniques.
- Good communication skills and a collaborative mindset.
- Excellent written and verbal communication skills in English.
Description
The primary objective is to design, develop, and validate machine learning models to accelerate energy materials discovery in increasingly autonomous SDL environments. The candidate will utilize techniques such as Bayesian Optimization, Reinforcement Learning, and Causal Learning to enhance experimental planning and optimization.
Responsibilities
- Analyze experimental and simulation data to extract meaningful insights.
- Develop and apply ML models for experimental planning and optimization.
- Ensure model validation and explainability using interpretable techniques.
- Collaborate with consortium researchers and supervise junior researchers’ projects.
- Prepare research presentations, publications, and complete a PhD thesis within four years.
How to Apply
Interested candidates should submit their applications, which must include a cover letter and CV, via the online application portal. Please note that applications not submitted through the online portal will not be accepted.
Contact Information
For further information about the position, please contact:
Dr. Süleyman Er
Email: s.er@differ.nl
For HR inquiries, you can reach out to:
Nicolette Ketelaar
Phone: +31 40 333 47 50
Email: n.j.m.ketelaar@differ.nl
Last Date to Apply
January 31, 2025
