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Research Assistant, Human-Robot Interaction Lab
Assistant Professor Michael Walker, Computer Science, is recruiting graduate and undergraduate research assistants for the Human-Robot Interaction Lab, which will open in fall 2024.
- Applicants are expected to have strong foundational knowledge in computer science.
- Prior experience in robotics is preferred, although not necessary if the student has a strong passion for applying concepts from human-centered computing to robot platforms and systems.
- Robotics is a multi-disciplinary field so students with skill sets from backgrounds including (but not limited to) engineering, networks, systems, human-computer interaction, graphics, design, cognitive science, artificial intelligence, etc. are encouraged to apply.
To apply, please email Dr. Walker at miwalker@mtu.edu.
SnP Lab Research Assistant
The MTU Security and Privacy (SnP) Lab is recruiting one hourly-paid research assistant for Summer 2024. The position is supported by GLRC/ICC Rapid Seedling Research Funding. Requirements:
- The candidate is interested in cybersecurity and has some basic knowledge of cybersecurity.
- The candidate has good programming skills and is eager to learn.
- It is preferred that the candidate has a basic understanding of the Control Area Network (CAN) protocol.
Please send your resume to Prof. Bo Chen (bchen@mtu.edu) and Niusen Chen (niusenc@mtu.edu) if you are interested.
Posted April 15, 2024
Graduate Research Assistant Position in Marine Autonomy
U.S. citizenship is required.
The Pattern Recognition and Intelligent Machines Engineering (PRIME) Lab at Michigan Tech is seeking applications for a three-year graduate research assistant GRA position in marine autonomy. The project addresses a concern of the broad AI and autonomy communities: as autonomy is pushed into complex and unstructured environments, the vulnerabilities of sensing, processing, and decision-making must be better understood and addressed.
This effort focuses on mitigating autonomous robot system (ARS) vulnerabilities that can be potentially exploited. A comprehensive study of possible disruptions to ARSs will be performed, followed by the development of robust autonomy algorithms that mitigate these disruptions. Analyses will be undertaken to develop a deep understanding of how uncertainty in ARSs affects the autonomy framework: sensors to software. This effort will culminate in novel ARS architectures for executing robust autonomy in military-relevant scenarios.
As part of this GRA position, summer employment may be available with the U.S. Navy. Upon graduation, there is the potential to transition to full-time employment in the U.S. Navy, although this is a potential benefit, not a requirement.
Desired skills include familiarity with computer programming languages such as Python and C, experience with robotics (Robot Operating System) and robot systems, and general research experience, though candidates with a broad range of research skills will be considered and trained.
To apply, please contact Dr. Timothy Havens at thavens@mtu.edu.
Renewed April 15, 2024