Cognizant is looking to solve multi-objective outcomes in complex business conditions using machine learning techniques, including automatic design of machine learning models, surrogate optimization of decision strategies, modeling uncertainty in point prediction and classification, and explainability of machine learning models.
Requirements
- Pursuing a PhD or equivalent experience in Artificial Intelligence, Data Science, Computer Science, Statistics, Mathematics, Engineering or a related field
- Demonstrated research experience in such a field
- Experience with Python, Tensorflow/PyTorch, Jupyter Notebook, GitHub
Responsibilities
- Assist with the identification of impactful research problems
- Help in designing new technology for solving such problems
- Implement the technologies and evaluate them on various benchmarks
- Assist in presenting the findings to partners and the scientific community
- Help in integrating the technologies into the LEAF platform
- Work in a highly collaborative, fast-paced environment with others in the team
Other
- Pursuing a PhD or equivalent experience
- Strong attention to detail and ability to work independently
- Excellent verbal and written communication skills in English
