Category: Research

Associate Teaching Professor Aneet Narendranath (ME-EM) has been selected as one of nine international scholars for the International Alliance to Advance Learning in the Digital Era (IAALDE) VISTAS Colloquium Series.

In a first phase, IAALDE has called for ambitious midcareer researchers, pre-tenured or recently tenured, who are developing and implementing a long-range research vision (think: 5-10 years ahead) and are therefore interested in discussing their research vision with peers from multiple societies and different disciplinary backgrounds.

The goal of the VISTAS (Vision, Inspiration, Synergy, and Transformation Across Societies) Colloquium Series on Learning and Technologies Research is to create a discussion space where researchers can connect with one another to explore ideas across multiple disciplinary and society perspectives. It is envisioned to inspire transformative research and to improve our societies by better connecting researchers to one another and to cross-disciplinary ideas.

A graduate of Michigan Technological University, Narendranath’s teaching interests include classical mechanics, numerical methods for differential equations and symbolic solution packages. His research interests focus on numerical solutions and applications to engineering of nonlinear partial differential equations and low Reynolds Number fluid physics.

Congratulations to Narendranath on achieving this honor.

One PhD student position with full assistantship is available in the Department of Mechanical Engineering-Engineering Mechanics (MEEM) at Michigan Technological University. The student will work under Dr. Kai Zhou’s supervision.

The position will start in Spring 2023. It is available immediately and open until filled. The applicants must have a BS or MS degree in Mechanical Engineering with a particular emphasis on Structural Dynamics and Vibrations. The qualified applicant is expected to:

1. Have the extensive experiences and strong skills in testbed set-up, experimental instrumentation and data acquisition.
2. Demonstrate the capability in using FE simulation to perform both the linear and nonlinear structural dynamic analysis. It is a plus if the student has the experiences conducting other multi-physics FE simulations, e.g., electromechanical FE, fluid-structure coupled FE, thermal-structural coupled FE. The preferred software include: Abaqus, Ansys and COMSOL.
3. Have the in-depth knowledge in signal processing, machine learning (especially deep learning), data analytics and optimization. Have the strong programing skill using MATLAB, Python to support the implementation. The knowledge of Fortran and LabVIEW is a plus.

Interested applicants are encouraged to contact Dr. Kai Zhou (kzhou@mtu.edu) with your CV, transcripts.

Michigan Technological University
Department of Mechanical Engineering-Engineering Mechanics

Opportunity Summary

Dr. Vinh Nguyen is seeking applications for 2 PhD students in automation for smart manufacturing. The students will receive full tuition coverage and stipend support. Students will be investigating technologies to facilitate human-automation systems in the context of Industry 4.0 and develop machine learning solutions to address real-world manufacturing problems. Students will have hands-on experience working on a variety of manufacturing processes including robotic assembly, machining, and additive manufacturing. Furthermore, students will also have the opportunity to work with advanced robotic tools including AR/VR and motion capture systems.

Dr. Nguyen is an Assistant Professor under the Department of Mechanical Engineering-Engineering Mechanics at Michigan Technological University. Dr. Nguyen’s collaborators include industry, federal government agencies, and other academic universities.

Required Background

• Master’s in Mechanical Engineering, Electrical Engineering, Computer Science, or other related fields.
• Experience in programming industrial automation (industrial robots, embedded hardware, PLC’s, etc.) and familiarity with manufacturing processes including machining and additive manufacturing.
• Hands-on experience with wearables technologies, machine learning, and human-robot interaction is a plus but not required.
• Strong communication and technical writing skills for presentation of work to collaborators and sponsors.

Desired Background

Candidates should demonstrate at least one of the following strengths:

• Experience with robotics and controls
• Experience with manufacturing processes
• Experience with machine learning models

How to Apply

Interested candidates should send their CV (1–2 pages) to vinhn@mtu.edu.

Michigan Technological University
Department of Mechanical Engineering-Engineering Mechanics

Opportunity Summary

Seeking applications for 2 PhDs student in the area of marine renewable energy (e.g., offshore wind, wave) and control (or machine learning). The students will receive full financial support including a stipend and tuition coverage. The candidate will be working with the research group lead by Dr. Shangyan Zou investigating the modeling, control, networking, and swarm behavior of marine renewable energy systems to improve the economic index of marine renewables. In addition to the theoretical and numerical development, the candidate will also have opportunities to gain hands-on experience by working with the wave tank at Michigan Technological University. Furthermore, the candidate also will have the opportunity to work in Lake Superior and conduct experiments in the lake with the Research Vessel. You can expect a very productive working environment as well as a very effective personal mentorship from the PI in addition to academic support.

In general, the candidate will be responsible for supporting the initiative and contributing to the research projects through literature review, mathematical modeling, experimental testing, data organization, data collection, data analysis, preparing for research presentations, preparing manuscripts for journal submission, and other research-related duties as assigned.

Dr. Zou’s lab is in the Department of Mechanical Engineering-Engineering Mechanics at Michigan Tech. We have an interdisciplinary collaboration with universities (e.g., Oregon State University), national labs (e.g., National Renewable Energy Laboratory), and industries (e.g., OscillaPower) which will be a great opportunity for the candidate to work with people from a diverse background.

Why Should You Apply

Dr. Zou’s lab seeks highly motivated, honest, self-driven individuals from a variety of backgrounds in our investigations. The research questions that we are trying to address including:

• How to develop/apply new controls (as well as machine learning techniques) to improve the performance (optimality and robustness) of ocean renewable energy systems?
• What is a good model to describe the behavior of Wave Energy Converters (both rigid body or deformable body) which is computationally efficient and has a good agreement with the experiments?
• Can we use wave power for small non-grid applications (e.g., water desalination, UUV charging, oceanographic measurements)?
• How can we introduce multi-agent system techniques to optimize the performance of a swarm of ocean renewable energy systems (as well as other devices like UUVs)?

If any of the research questions excite you, please reach out!

Required Background

• MS (preferred) or BS in Mechanical Engineering, Civil Engineering, Electrical Engineering or other related fields
• Solid programming skills and some hands-on experience (e.g., 3-D printing, hardware communications). Hands-on experience with robotics or wave tank will be a plus but not necessary.
• Introductory background in dynamic systems and control, fluid mechanics. Deep background of Fluid Mechanics will be a plus but not necessary.
• Strong communication skills and used to a teamwork environment
• Solid writing skills and experience with presentation or article writing

Desired Background

Candidates should demonstrate at least one of the following strengths:

• Experience with modeling and control of ocean renewable energy systems (e.g., ocean wave, offshore wind)
• Experience with wave tank testing, hardware communication, or sensor measurements
• Experience with fluid-structure interaction
• Experience with control theory, state estimation, or multi-agent systems
• Experience with robotics (both numerical and experimental)

How to Apply

Send your CV and a brief statement of interest (1–2 pages) to shangyan@mtu.edu. In your statement of interest, please clearly highlight your strengths as one (or more) of the listed items. In addition, please send your application with the subject line: “Applying for PhD student position on marine renewables”.