RESEARCH ASST II For Robust Android Mobile Software Systems

Job Summary

We are seeking several well prepared and motivated students to join our team for Summer of 2026. The project sits at the intersection of modern language design, optimization, and effective prevention of critical runtime software exceptions in real world software applications, in particular those targeting Google's Android platform . You will collaborate with researchers and engineers to advance the capabilities of next-generation tooling and language features.

Responsibilities*

• Design, develop, and maintain clean, scalable tools on top of Kotlin programming language implementation/JetBrains platform.
• Improve Kotlin's current runtime exception handling mechanism.
• The work may also include exploring static analysis, code generation, and type-system enhancements.
• Participate in code reviews, technical discussions, and document implementation details on a weekly basis.

Required Qualifications*

• Strong Programming Skills
• Master's Degree in Computer Science or related field

Desired Qualifications*

• Direct, hands-on working knowledge of object-oriented programming (OOP) using Kotlin is preferred
• Strong analytical skills and experience writing testable, high-quality code highly desired
• Being comfortable or experienced with open-source software development and related AI assistants is desired

Modes of Work

Hybrid

The work requirements allow both onsite and offsite work and an employee has an expected recurring onsite presence. On occasion, the employee may be required and must be available to work onsite more frequently if necessitated by unit leadership or their designee and/or the job requirements.

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.

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.

U-M EEO Statement

The University of Michigan is an equal employment opportunity employer.