Summary
This project entails an exploration of Android apps which may come in both benign and malicious forms. It requires a careful analysis of available data repositories on which the candidate is expected to perform machine learning tasks.
Responsibilities*
- Preprocess data regardless of its modality or nature and build prediction models
- Maintain and fine tune the models built
- Assist to mine Android Apps to be able to characterize their malicious or benign behavior along with some descriptive statistics
- Attend weekly meetings to report progress
Required Qualifications*
- Currently enrolled undergraduate student in good academic standing or recently graduated from an undergraduate program and not currently enrolled in a graduate program
- Machine learning and/or data mining skills
- Strong Python programming skills
- Some experience with PyTorch or Tensorflow frameworks
Desired Qualifications*
Experience with deep leaning is preferred.
Work Schedule
Work on this project will take place during the Summer 24 and Fall 24 semesters.
Additional Information
University of Michigan-Flint - Plan for Diversity, Equity and Inclusion
The University of Michigan-Flint's DEI plan can be found at: https://www.umflint.edu/dei/?
The University of Michigan-Flint exhibits its commitment to diversity, equity, and inclusion through enacting fair practices, policies, and procedures particularly in support of the equitable participation of the historically underserved. UM-Flint recognizes the value of diversity in our efforts to provide equitable access and opportunities to all regardless of individual identities in support of a climate where everyone feels a sense of belonging, community, and agency.
Diversity is a core value at University of Michigan-Flint. We are passionate about building and sustaining an inclusive and equitable working and learning environment for all students, staff, and faculty. The University of Michigan-Flint seeks to recruit and retain a diverse workforce as a reflection of our commitment to serve the diverse people of Michigan, to maintain the excellence of the University, and to offer our students richly varied disciplines, perspectives, and ways of knowing and learning for the purpose of becoming global citizens in a connected world.
Background Screening
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.
Application Deadline
Job openings are posted for a minimum of three calendar days. The review and selection process may begin as early as the fourth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.
U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.