Electrochemical Systems Engineer with Machine Learning Expertise
2 days ago
Key Responsibilities
The successful candidate will be responsible for leading and conducting advanced research in energy, electrochemistry, and mechanical engineering.
- Developing and implementing AI/Machine Learning models to analyze vast amounts of data to identify the best materials for products is a key responsibility.
- Collaborating with cross-functional teams to integrate AI solutions into existing and new projects is also required.
- Analyzing complex data sets to identify patterns and insights that help in discovering new materials is another key responsibility.
- Mentoring and guiding junior researchers and engineers in AI/Machine Learning methodologies is also necessary.
Desired Qualifications
- A Ph.D. or Master's degree in Engineering, Computer Science, or a related field is essential.
- At least 5 years of research experience in AI/Machine Learning, preferably related to thermodynamics, electrochemistry, kinetics, and/or mechanical engineering, is required.
- Strong expertise in Machine Learning Algorithms and LLM models is necessary.
- A proven ability to lead research projects and collaborate with multidisciplinary teams is expected.
- Excellent problem-solving skills and attention to detail are required.
- Strong communication skills, both written and verbal, are essential.
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