PhD Candidate in Neural Network-based Modeling for Molecule and Material Design
3 weken geleden
We are seeking a highly motivated PhD candidate to join our research group in the Department of Chemistry at the Universiteit van Amsterdam. The successful candidate will be part of a dynamic team working on the development and application of neural network-based modeling for molecule and material design.
Key Responsibilities- Develop and apply state-of-the-art computational frameworks for studying electro-catalytic reactions and designing improved catalyst materials.
- Develop and apply machine learning techniques to obtain reaction free landscapes.
- Improve integrated models for investigation of electron and proton transfer reactions at catalyst materials.
- Propose new catalyst materials, working conditions, and experiments to our collaborators.
- 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 is preferred.
- Experience with machine learning is preferred.
- Good programming skills.
- Excellent communication skills in oral and written English.
- Strong initiative and good time management skills.
- A temporary contract for 38 hours per week for the duration of four years.
- A gross monthly salary ranging from €2, in the first year to €3, in the last year.
- A favourable tax agreement, the '30% ruling', may apply to non-Dutch applicants.
- A complete educational program for PhD students.
- Multiple courses on topics such as leadership for academic staff.
- Multiple courses on topics such as time management, handling stress and an online learning platform with + different courses.
Interested candidates should submit their application, including a CV, a cover letter, and contact information for two academic references, to [insert contact information].
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Amsterdam, Noord-Holland, Nederland Universiteit van Amsterdam VoltijdJob DescriptionWe are seeking a highly motivated PhD candidate to join our research group in the Department of Chemistry at the Universiteit van Amsterdam. The successful candidate will be part of a dynamic team working on the development and application of state-of-the-art computational frameworks for studying electro-catalytic reactions and designing...
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Amsterdam, Noord-Holland, Nederland Universiteit van Amsterdam VoltijdJob DescriptionWe are seeking a highly motivated PhD candidate to join our research group in the Department of Chemistry at the Universiteit van Amsterdam. The successful candidate will be part of a dynamic team working on the development and application of state-of-the-art computational frameworks for studying electro-catalytic reactions and designing...
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Amsterdam, Noord-Holland, Nederland Universiteit van Amsterdam VoltijdJob DescriptionWe are seeking a highly motivated PhD candidate to join our research group in the Department of Chemistry at the Universiteit van Amsterdam. The successful candidate will be part of a dynamic team working on the development and application of state-of-the-art computational frameworks for studying electro-catalytic reactions and designing...
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Amsterdam, Noord-Holland, Nederland Universiteit van Amsterdam VoltijdJob DescriptionWe are seeking a highly motivated and skilled PhD candidate to join our research group in the field of computational chemistry and materials science. 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...
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Amsterdam, Noord-Holland, Nederland Universiteit van Amsterdam VoltijdJob DescriptionWe are seeking a highly motivated and skilled PhD candidate to join our research group in the field of computational chemistry and materials science. 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...
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