Department
About the Department
Job Summary
The job develops software to support the data acquisition, ingestion, and integration for research projects. Assists in the development of user interfaces and scalable back-end services to automate and accelerate the scientific output of multi-institutional research projects.
Responsibilities
- Serves as a central knowledge resource for faculty and researchers.
- Designs and develops machine-learning based methods for different use cases: tabular data, images, video, speech, unstructured text.
- Confidently solves regression, classification, clustering, forecasting, and anomaly detection problems using established machine learning techniques.
- Research and/or work experience in machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval or computer vision.
- Communicates highly technical information to numerous audiences, including faculty, students, researchers, and staff. Teaches others and learns new techniques.
- Helps faculty with grant proposals by contributing sections describing the interplay between research objectives and new or expanded data resources.
- Develops, installs, and tests scientific software in support of research goals.
- Develops documentation best practices and tools that can be used by others.
- 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.
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field.---
Work Experience:
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Certifications:
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Preferred Qualifications
Education:
- Ph.D. in computer science, computer engineering, data science, or similar.
Technical Skills or Knowledge:
- Knowledge in Java or C++, Perl, PHP or Python.
- Experience with statistical software (e.g., R, Python, MATLAB, pandas) and database languages (e.g., SQL). Comfortable using Github for version control of code.
- Experience with deep learning frameworks Keras and/or PyTorch.
- Experience applying latest AI/ML techniques in computer vision data processing and image classification analysis.
- Hands-on experience in large-scale imaging data processing and analysis and on distributed computing systems.
Preferred Competencies
- Excellent interpersonal, communication (verbal and written) skills, and a strong team player.
- Work well with faculty and researchers.
- Understand and translate researchers' scientific goals into computational requirements.
- Identify and gain expertise in appropriate new technologies and/or software tools.
- Summarize research and analysis for audiences with varying levels of expertise.
- Function as part of an interactive team while demonstrating self-initiative to achieve project's goals and Research Computing Center's mission.
- Strong analytical skills and problem-solving ability.
- Excellent interpersonal and communication skills; proven ability to work effectively within a team.
- Demonstrated ability to work collaboratively within cross-functional teams.
Application Documents
- Resume/CV (required)
- Cover Letter (preferred)
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Role Impact
FLSA Status
Pay Frequency
Scheduled Weekly Hours
Benefits Eligible
Requires Compliance with University Covid-19 Vaccination Requirement
Drug Test Required
Health Screen Required
Motor Vehicle Record Inquiry Required
Posting Statement
Employees must comply with the University’s COVID-19 vaccination requirements. More information about the requirements can be found on the University of Chicago Vaccination GoForward .
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 Applicant Inquiry Form.
We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.
The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu . Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.
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