Please visit the Michigan Tech jobs website or Handshake for additional job opportunities.
Undergraduate Student Research Assistants
Are you looking for an exciting research experience in applied artificial intelligence and medical imaging/informatics? The Laboratory of Medical Imaging and Informatics Lab (MIIL) is hiring. We focus on developing innovative computational methods and analytical techniques to address significant healthcare challenges and improve clinical practice. Students in Dr. Zhou’s lab at Michigan Tech have received seven undergraduate research awards (MTU SURF or URIP). Under the guidance of Dr. Zhou, senior research assistants (PhD and MS students), and clinical collaborators, undergraduate researchers will:
- Conduct literature reviews
- Develop and validate software methods and tools
- Validate with computer simulations and patient data
- Analyze study data
- Prepare manuscripts
- Apply for student research fellowships, and more
Required Qualifications
- Passion for science/engineering and healthcare
- Strong academic performance with an intended major in computer science or engineering
- Experience with Python programming language
- Ability to work in the lab on campus for 8 hours each week
- One-semester commitment (one-year preferred)
- Strong willingness to learn new and challenging analytical methods
- Excellent communication skills
Desired Qualifications
- Ability to work independently
- Interest in medical image analysis, machine learning/deep learning, and/or natural language processing
How to Apply
Submit the following application materials by email to whzhou@mtu.edu.
- CV/Resume
- Most recent academic transcript (unofficial copies accepted)
Projects
- Multi-modality Image Fusion to Improve Coronary Revascularization in Patients with Stable Coronary Artery Disease (Supported by NIH 1R15HL172198)
- Integrative Analysis of Electrical and Mechanical Dyssynchrony to Improve Cardiac Resynchronization Therapy (Supported by NIH 1R15HL173852)
Research Assistant (Volunteer)-Human-Robot Interaction (HRI) Lab
Department: Applied Computing
Location: On-campus
Open To: Undergraduate and Graduate Students in the College of Computing
Compensation: Volunteer
The HRI Lab at Michigan Tech conducts research at the intersection of human–robot interaction (HRI), extended reality (XR), and robotic systems. We design and evaluate advanced robotic interfaces that enable people to supervise, collaborate with, and control robots in settings ranging from everyday environments such as homes and workplaces to remote and extreme domains like search and rescue and space exploration.
We are seeking motivated students who are passionate about designing robotic systems for people. Lab members contribute to research projects involving teleoperation, XR-enabled control rooms, multi-robot teaming, and immersive user interfaces. Students will gain hands-on experience with state-of-the-art robots (e.g., Boston Dynamics Spot, Reachy 2 humanoid, Turtlebot 4), XR headsets, Unity-based interfaces, and Robot Operating System (ROS) software pipelines.
Preferred Qualifications
- Applicants are expected to have strong foundational knowledge in computer science
- Experience with robotics (e.g., ROS/ROS 2, perception, navigation, manipulation)
- Experience with game engines (e.g., Unity, Unreal) for UI/UX or simulation
development - Strong interest in human–robot interaction and applied research
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, along with all students in the College of Computing.
Prior research experience is not required. This position is intended as an entry point into the lab's research ecosystem, with opportunities for progression to paid positions and deeper project involvement.
How to Apply
Send a brief statement of interest and your resume/CV to Dr. Michael Walker at miwalker@mtu.edu. In your message, highlight relevant experience (if any) and what motivates your interest in HRI research.