
PhD Position in Scientific Machine Learning
16 hours ago
About the Company
\Located in the heart of Sweden, Uppsala University CIM project brings together experts from various fields to tackle complex challenges in predictive state estimation.
\The department's unique blend of mechanics, chemistry, and mathematics expertise creates an ideal environment for innovation.
\Our goal is to push the boundaries of what is possible and make a meaningful impact on the field.
\Job Description
\This PhD position offers a unique opportunity to work alongside leading researchers in the field of predictive state estimation using scientific machine learning.
\As a PhD researcher, you will contribute to the development of novel methods for predicting battery behavior and collaborate with our international partners.
\Key responsibilities include:
\- \
- Developing and testing machine learning algorithms\
- Collaborating with the research team to identify areas for improvement\
- Presenting research findings at conferences and workshops\
- Maintaining up-to-date knowledge of relevant literature and developments\
- \
Required Skills and Qualifications
\To succeed in this role, you should possess:
\- \
- A master's degree in physics, mathematics, or computer science\
- Proficiency in programming languages such as Python and C++\
- Familiarity with machine learning frameworks and libraries\
- Excellent analytical and problem-solving skills\
- \
Benefits
\This is a full-time position offering:
\- \
- A comprehensive benefits package\
- Opportunities for professional growth and networking\
- A collaborative and inclusive work environment\
- Access to top-notch research facilities and resources\
- \
Others
\This position involves close collaboration with colleagues and may require occasional travel for conferences and workshops.
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