PhD Position in Material Properties: Mohammed VI Polytechnic University is inviting applications for a PhD position focused on the development of machine learning models aimed at predicting material properties relevant to lithium-ion and sodium-ion batteries. This position offers a unique opportunity to contribute to significant advancements in material design using innovative computational and experimental techniques.
PhD Position in Machine Learning Models for Material Properties
Designation
PhD Position in the Development of Machine Learning Models to Predict Material Properties
Table
| Category | Details |
|---|---|
| Research Area | Machine Learning, Material Properties, Batteries |
| Location | Benguerir, Morocco |
| Eligibility/Qualification | Bachelor’s degree in Computer Science (mandatory); strong quantitative background; proficiency in Python and ML frameworks (PyTorch or TensorFlow); experience with graph-based models or deep learning on molecules. |
| Last Date to Apply | Not specified; check university website for updates |
Research Area
This position emphasizes the application of machine learning and modern computational methods (DFT, AIMD, classical MD) to predict crucial material properties such as energy density, material lifespan, and stability.
Location
Mohammed VI Polytechnic University, Benguerir, Morocco.
Eligibility/Qualification
- A Bachelor’s degree in Computer Science (mandatory).
- Strong quantitative background.
- Proficiency in Python and frameworks like PyTorch or TensorFlow.
- Experience with graph-based models or deep learning focusing on molecules.
- Passion for research and development.
- Strong communication skills in English (both spoken and written).
- Ability to collaborate within a multidisciplinary team and adapt to evolving needs.
Description
The chosen candidate will leverage data-driven machine learning techniques alongside experimental methods to hasten the discovery of novel materials with optimal characteristics for battery applications. This PhD role aims to enhance knowledge in material science and contribute to sustainable technological advancements.
How to Apply
Interested candidates should submit the following documents:
- Cover letter outlining motivation for the PhD position.
- Detailed curriculum vitae.
- Transcripts from Bachelor’s and Master’s degrees (M1 and M2, if applicable).
- One reference letter.
Last Date to Apply
Until position filled
