The University of Chicago Research Computing Center (RCC) is looking to hire a Computational Scientist to support research projects that need to use machine learning and AI, and to develop software to support data acquisition, ingestion, and integration for research projects.
Requirements
- Experience with one or more machine learning and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Experience applying latest AI/ML techniques in computer vision and image classification analysis.
- Experience with one of more following AI/ML domains: Causal AI, Reinforcement Learning, Generative AI, NLP, Dimension Reduction, Computer Vision, Sequential Models.
- Experience using AI/ML techniques to solve real-world applications.
- Proficiency in Python.
- Experience with one or more Python libraries such as NumPy, Pandas, SciPy, Scikit-Learn, MatplotLib, Seaborn, geopy, NLTK.
- Experience with one or more high-level programming languages such as C/C++, Matlab, or R.
Responsibilities
- Support applications of Artificial Intelligence (AI) in various research disciplines and serve as the domain expert.
- Work closely with faculty to identify, develop, and implement useful computational methods and resources that support or advance their research.
- Develop and implement AI and machine-learning based methods for different use cases: images, video, speech, unstructured text, etc.
- Develop, maintain, and support data analysis, AI and Machine Learning pipelines.
- Confidently solve regression, classification, clustering, forecasting, and anomaly detection problems using established machine learning techniques.
- Independently propose and execute practical solutions to various research challenges.
- Communicate highly technical information to numerous audiences, including faculty, students, researchers, and staff.
Other
- Minimum requirements include a college or university degree in related field.
- Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.
- Preferred Qualifications: Ph.D. in computer science, computer engineering, data science, or similar.
- Excellent interpersonal, verbal, written, and presentation skills.
- Ability to understand and translate researchers’ scientific goals into computational requirements.
