Are you looking for an exciting research experience in applied artificial intelligence and medical imaging/informatics? The MIIL Lab (Laboratory of Medical Imaging and Informatics) is hiring undergraduate student research assistants. We focus on developing innovative computational methods and analytical techniques to address significant healthcare challenges and improve clinical practice. For more information about our research projects, please visit our website.
Under the guidance of Dr. Weihua 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
Students in Dr. Zhou’s lab at Michigan Tech have received seven undergraduate research awards (MTU SURF or URIP).
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
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)
Required Application Materials
- CV/Resume
- Most recent academic transcript (unofficial copies accepted)
To submit application materials, email whzhou@mtu.edu.