Programmer Computer Science, Machine Learning, Neuroscience

Department
 

SING UChicago Consortium for Advanced Science and Engineering

About the Department
 

The Office of the Vice Provost for Research works with faculty and deans to support and enhance research funding and manage large-scale research infrastructure such as University Research Administration (URA) and the University of Chicago Consortium for Advanced Science and Engineering (CASE), the Office of Research Safety, Research Computing Center, and Research Development Support.

Job Summary
 

The University of Chicago is looking for a motivated and talented programmer to work with our team to adapt and implement codes for stitching, alignment, and segmentation of electron microscopy image stacks. We seek a candidate comfortable with Python, CV/ML, and image data, specifically including: (1) computer vision approaches to template- and feature-matching, (2) neural networks written in TensorFlow, and (3) efficient work distribution, ideally in the context of a cluster/HPC computing environment.
This position is wholly or partially funded by contractual grant funding which is renewed under provisions set by the grantor of the contract. Employment will be contingent upon the continued receipt of grant funding.

Responsibilities

• Adapts existing code and develops new code for image stitching and alignment using algorithms from OpenCV and implemented directly.
• Adapts existing code and develops new code for image segmentation using a combination of neural networks and computer vision algorithms.
• Implements testing facilities for above code, possibly using CI, for tracking accuracy and performance.
• Maintains, implements, and tests modules in cooperation with the Manager and departments utilizing best practices for software development, including automated testing, proper execution of specifications, adherence to documentation standards, and participation in implementation and configuration reviews.
• Investigates, analyzes and resolves day-to-day technical problems using standard procedures.
• Works with stakeholders to gather and analyze requirements for developmental programs. Receives a moderate level of guidance to design applications to meet University and business requirements.
• Performs code testing on components and works to ensure that appropriate implementation standards are met. Evaluates design alternatives for development cost and solutions using various methods.
• Supports and maintains existing applications. Works with web developers and responds to requests from users.
• Performs other related work as needed.

Minimum Qualifications
 

Education:

Minimum requirements include a college or university degree in related field.

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Work Experience:

Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.

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Certifications:

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Preferred Qualifications

Education:

• Master's degree.

Technical Skills or Knowledge:

• Python and supporting libraries, particularly NumPy.
• Familiarity with parallel programming (mpi4py in particular).
• Experience in or the ability to learn (quickly) AI/ML frameworks such as TensorFlow or PyTorch.

Preferred Competencies

• Work on interdisciplinary teams with domain scientists.
• Teamwork, the ability to work in a team and tackle hard problems in a distributed version control environment.
• Natural curiosity.
• Strong written and verbal communication skills.

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
 

Information Technology

Role Impact
 

Individual Contributor

FLSA Status
 

Exempt

Pay Frequency
 

Monthly

Scheduled Weekly Hours
 

37.5

Benefits Eligible
 

Yes

Requires Compliance with University Covid-19 Vaccination Requirement
 

Yes

Drug Test Required
 

No

Health Screen Required
 

No

Motor Vehicle Record Inquiry Required
 

No

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.