Research Fellow - Rescue Lab Hybrid
Research Fellow - Rescue Lab Hybrid
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Job Description
About UMass Amherst
The flagship of the Commonwealth the University of Massachusetts Amherst is a nationally ranked public landgrant 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 1450acres in scenic Western Massachusetts and boasts stateoftheart facilities for teaching research scholarship and creative activity. The institution advances a diverse equitable and inclusive community where everyone feels connected and valuedand 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 internetbased 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 highimpact 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
- Bachelors 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 csharp 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 grantfunded position. This fulltime 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 employees work is regularly performed at a location other than the campus workspace for a portion of the week. As this position is nonunit it is subject to the terms and conditions of the University of Massachusetts Board of Trustees NonUnit (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 pregnancyrelated 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.
Employment Type
Grant
