Summary:
The Computational Chemistry group at the University of Amsterdam is offering a fully funded PhD scholarship in the field of neural network-based modeling for molecule and material design. The selected candidate will have the opportunity to work on cutting-edge research in electro-catalysis, machine learning techniques, and quantum chemical modeling.
Fully Funded PhD Scholarship in Neural Network-Based Modeling for Molecule and Material Design
Designation: PhD Candidate in Neural Network-Based Modeling for Molecule and Material Design
Research Area: Computational Chemistry, Machine Learning, Electro-Catalysis
Location: University of Amsterdam, Van ‘t Hoff Institute for Molecular Sciences (HIMS)
Eligibility/Qualification:
- A Master’s degree in science, preferably in chemistry, chemical engineering, physics, engineering physics, materials science, computational science, or artificial intelligence with a specialization in natural science
- Experience with molecular simulation and machine learning is preferred
- Good programming skills
- Excellent communication skills in oral and written English
- Interest in collaborating with students, PhDs, and postdoctoral researchers in related projects and research groups within and outside the Netherlands
Job Description:
The successful candidate will be responsible for:
- Developing and applying a state-of-the-art computational framework for studying electro-catalytic reactions and designing improved catalyst materials
- Setting up, training, and applying neural network potential based molecular dynamics simulations for catalyst screening
- Applying machine learning techniques to obtain reaction free landscapes and improve integrated models for investigation of electron and proton transfer reactions at catalyst materials
- Proposing new catalyst materials, working conditions, and experiments to collaborators
- Conducting independent research, actively participating in the research group, writing manuscripts, and publishing and presenting work in peer-reviewed international journals, books, and conferences
- Contributing to the supervision of BSc/MSc student projects and teaching activities of the department
How to Apply:
Interested candidates can apply online via the University of Amsterdam’s application portal. The application should include a detailed CV, a 1-page letter of motivation, a list of university grades, and contact details of two academic referees. Only complete applications received within the response period will be considered.
Last Date for Apply: 30th September 2024
