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Research Fellow - Rescue Lab (Hybrid)

Work type: Senior/Research Fellow (Amherst Only)

Department:Computer Science

Union:Non-Unit Exempt

Categories: Manning College of Information & Computer Sciences

About UMass Amherst

The flagship of the Commonwealth, the University of Massachusetts Amherst is a nationally ranked public land-grant research university that seeks to expand educational access, fuel innovation and creativity, and share and use its knowledge for the common good. Founded in 1863, UMass Amherst sits on nearly 1,450-acres in scenic Western Massachusetts and boasts state-of-the-art facilities for teaching, research, scholarship, and creative activity. The institution advances a diverse, equitable, and inclusive community where everyone feels connected and valued—and thrives, and offers a full range of undergraduate, graduate and professional degrees across 10 schools and colleges, and 100 undergraduate majors. We believe every member of our university community can contribute to our ongoing success by striving for the highest level of excellence as we seek breakthrough solutions to mounting environmental, social, economic, and technological challenges in our world.

About Rescue Lab

Rescue Lab is the premier academic group working on topics related to thwarting internet-based child exploitation. Our group is staffed by very experienced professors and staff, and we collaborate with partners in the US and internationally. Work with us to enjoy a high-impact position in a group that deploys solutions that assist the vulnerable worldwide.

Job Description

Contributes to research in a highly technical Computer Science group. This role can involve:

+ designing, programming, and maintaining highly technical distributed systems;

+ quantitative analysis of empirical data;

+ modifying and explaining code written by others;

+ working with third parties who are not computer scientists.

Requirements

+ Bachelor’s Degree or higher (preferably in Computer Science or a related field).

+ Expertise with programming languages appropriate to the projects (e.g., python, C, and/or c-sharp, as well as sql languages).

+ Expertise with building and maintaining software systems.

+ Familiarity with the specialized subareas of machine learning, software engineering, and systems (databases, networking, etc.). An understanding of digital forensics or network forensics is a plus.

+ Ability to work with a minimal amount of supervision.

+ Ability to communicate effectively with others.

Additional Information

This is a temporary, grant-funded position. This full-time role is being filled to satisfy the needs for a contract with Global Impact, which currently has funding available through December 31, 2025. Reappointment beyond this date will be contingent upon the availability of funding and satisfactory performance.

This position has the opportunity for a hybrid work schedule , which is defined by the University as an arrangement where an employee’s work is regularly performed at a location other than the campus workspace for a portion of the week. As this position is non-unit, it is subject to the terms and conditions of the University of Massachusetts Board of Trustees Non-Unit (Professional/or Classified) Employee Personnel Policy.

Application Instructions

Along with the application, please submit a CV and the names and contact information for three (3) professional references.

UMass Amherst is committed to a policy of equal opportunity without regard to race, color, religion, caste, creed, sex, age, marital status, national origin, disability, political belief or affiliation, pregnancy and pregnancy-related condition(s), veteran status, sexual orientation, gender identity and expression, genetic information, natural and protective hairstyle and any other class of individuals protected from discrimination in employment, admission to and participation in academic programs, activities, and services, and the selection of vendors who provide services or products to the University. To fulfill that policy, UMass Amherst is further committed to a program of affirmative action to eliminate or mitigate artificial barriers and to increase opportunities for the recruitment and advancement of qualified minorities, women, persons with disabilities, and covered veterans. It is the policy of UMass Amherst to comply with the applicable federal and state statutes, rules, and regulations concerning equal opportunity and affirmative action.

Advertised: Mar 17 2025 Eastern Daylight Time

Applications close: Jun 17 2025 Eastern Daylight Time