Job Description:

• 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. Independently and proactively propose and execute practical solutions to research challenges.

• 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. Teach others and learn new techniques.

• Help faculty with grant proposals by contributing sections describing the interplay between research objectives and new or expanded data resources.

• Create and present tutorials, hands-on workshops, and documentation to train the research community.

• Develops and presents technical training materials and web-based documentation. Ensures timely systems support and updates. Assists in conducting information security assessments and risk analysis of computing environment.

• Evaluates past and present technologies to help develop new tools. Ensures all the new tools have been through quality control reviews.

• Performs other related work as needed.

Preferred Qualifications

Education:

• Ph.D. in computer science, computer engineering, data science, or similar.

Technical Skills or Knowledge:

• 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.

• Experience with Git and in general with version control.

• Experience with Linux/Unix.

• Experience with statistical and numerical methods.

Preferred Competencies

• Excellent interpersonal, verbal, written, and presentation skills.

• A broad knowledge of algorithms, programming languages, and libraries.

• Ability to understand and translate researchersâ™ scientific goals into computational requirements.

• Ability to identify and gain expertise in appropriate new technologies and/or software tools.

• Ability to function as part of an interactive team while demonstrating self-initiative to achieve projectâ™s goals and Research Computing Centerâ™s mission.

• Demonstrated ability to work collaboratively within cross-functional teams.

• Strong analytical skills and problem-solving ability.

• Ability to work well with faculty and researchers.

• Experience writing or contributing to grant proposals.

Application Documents

• Resume or CV (required)

•  Cover letter (preferred)

The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via the Applicant Inquiry Form.

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About University of Chicago (UC)

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