If you are interested in one of the opportunities below, please reach out directly to the faculty member listed below each project.

Ph.D. Positions

Thermal Storage for use in Temperature Control Applications and in Energy Storage Systems

  • Hourly Research Assistants
  • Ph.D. Students
  • Starting Immediately or by Sept. 1, 2022
  • Contact Prof. Jan Kosny by email: Jan_Kosny@uml.edu

This is an immediate, 2.5 year fully funded position opening for Ph.D. students. This work will/may include: Numerical thermal performance analysis, including CFD and multidimensional dynamic heat transfer simulations, Functional, thermal, and structural design of heat exchangers using latent heat storage, Participation in laboratory preparation of chemical formulations, Laboratory work focused on enhancement of thermal conductivity and reduction of the subcooling effect, Laboratory material characterization, including mechanical strength, enthalpy, and thermal conductivity testing, Filed exposure testing and laboratory durability testing, Cost analysis.

Applicants should have the ability to be accepted as a Ph.D. candidate, with a Master of Science in Physics, Chemistry, Mechanical, Chemical, Manufacturing, or Civil Engineering, or Material Science/Engineering, excellent understanding of at least one of these areas: of Advance Heat Transfer, Chemical Engineering, and Phase Change Processes, Laboratory work experience (material characterization and thermal measurements) with use of DSC, FTIR, Heat Flow Meter testing apparatus, etc., Proficiency in dynamic heat transfer simulations, CFD modeling experience, Familiarity with whole building energy simulation tools, as well as AutoCAD and/or SolidWorks.

Ph.D., Master's and Undergraduate Positions

Computational Aero-Acoustics (CAA) for Structural Health Monitoring

  • Graduate Research Assistant
  • Ph.D. Student (Undergraduate or MS students will be considered as long as they can continue into the Ph.D. program starting Spring 2023)
  • Starting Fall 2022 (Spring 2023 start possible)
  • Contact Prof. Murat Inalpolat by email: Murat_Inalpolat@uml.edu
  • Fully funded (tuition and fees + stipend + 90 percent of health insurance)

The researcher in this position will develop and use computational aero-acoustics simulation tools to assess wind turbine blade damage using acoustic measurements/predictions. The computational tools will also be used to optimize the damage detection capability and sensor placement. Coupled fluid-acoustic and/or high-fidelity predictive tools (direct CAA) for aero-acoustics predictions will be considered/developed/used in this research. The ideal candidate will have a strong interest in scientific computing, aerodynamics, acoustics and fluid-structure interaction (FSI). Background/experience in computer programming using compiled languages (Python, C, others), numerical methods for PDEs (boundary/finite element, finite difference and/or finite volume) and/or prior experience using CFD/CAA tools is strongly preferred. Parallel computing experience is advantageous, but not required. This graduate student is also expected to support sensor hardware development and any testing activities in the lab and in the field. This position requires an undergraduate GPA > 3.5 (or commensurate experience), and satisfactory analytical skills, communication skills, work ethics, integrity, motivation and collegiality.

Controls for Advanced Exoskeleton Development

  • Graduate Research Assistant
  • MS or Ph.D. Student
  • Starting Fall 2022 (Spring 2023 start possible)
  • Contact Prof. Murat Inalpolat by email: Murat_Inalpolat@uml.edu
  • Fully funded (tuition and fees + stipend + 90 percent of health insurance)

The student in this project will develop control algorithms (Matlab and Python based), and help develop and test controllers for exoskeletons employed by military personnel. This graduate student is expected to have, or motivated to develop, background in coding in Python or Controls signal processing, machine learning and algorithms development as well as field/lab testing of the exoskeletons and data analysis. The algorithms will be used to predict future actions and responses of the exoskeleton users. This position requires an undergraduate GPA > 3.5 (or commensurate experience), and satisfactory analytical skills, communication skills, work ethics, integrity, motivation and collegiality.

Design, Fabrication, and Implantation of Custom Brain Machine Interfaces

  • Doctoral Research Assistant
  • Spring 2023 or Fall 2023 start
  • Candidate can be either graduating/graduated senior or a Master's level student looking to pursue their doctorate
  • Contact Prof. Lei Chen by email: Lei_Chen@uml.edu

The researcher in this position will optimize automated fabrication and tip preparation technologies for custom brain-machine interfaces and investigate the vibration-assisted implantation of such apparatus deep into the brain through membrane layers without buckling. Ultimate goal of the research is to understand the optical size, tip geometry, and the corresponding automated fabrication and implantation technology for custom cellular-scale brain-machine interfaces for both neuroscience studies and future brain-machine communication devices. The student will gain expertise in various advanced manufacturing techniques including additive manufacturing and precision machining, cutting mechanics of biological membrane layers through experiments and modelling, and machine design skills. This student researcher will collaborate closely with a few leading neuroscience teams around the country to identify the real-world surgical needs and advance the neuroscience studies through advanced manufacturing technologies. The student will be supported for the duration of their doctoral studies.

Simulations of Highly Loaded Fluids for Additive Manufacturing

  • Hourly Research Assistant
  • Senior Undergraduate or M.S. student
  • Starting Spring or Summer 2022
  • Contact Prof. Noah Van Dam by email: Noah_VanDam@uml.edu

I am looking for a motivated student to work on a new project modeling the flow and behavior of highly loaded fluids for new additive manufacturing (i.e. 3D printing) processes. This presents a unique opportunity to get involved in computational simulations, and the development of a new, experimental AM technique. The student will be responsible for developing and running computational simulations of fluids with very high solids volume fractions under guidance from Prof. Van Dam and Prof. Hansen.

Students should be senior undergraduates or masters students. Training in the specific Computational Fluid Dynamics software will be available, but interested students should have strong programming skills. Previous experience with linux and/or engineering simulations are beneficial. Funding may be available and will be discussed as part of the interview process. Women and members of underrepresented minorities are encouraged to apply.

CFD Simulations for Navy Applications

  • Hourly Research Assistant(s)
  • Senior Undergraduate or M.S Student
  • Starting Spring 2022
  • Contact Prof. Noah Van Dam by email: Noah_VanDam@uml.edu

Students will contribute to multiple projects funded by the United States Navy to perform various computational fluid dynamics simulations of burner systems and internal combustion engines. Students would be joining a team of current students under multiple faculty advisors, and may also work on development of a fuel surrogate database, salt-air modeling, or material corrosion. Interested students should contact prof. Van Dam to discuss specific project tasks available. Students will utilize the Massachusetts Green High Performance Computing Cluster and CONVERGE CFD simulation software. Training and support is available, but interested students should have strong computing and/or programming skills. Previous experience with linux and/or engineering simulations are beneficial. Women and members of underrepresented minorities are encouraged to apply.

Development of Machine Learning Models for Combustion Applications

  • Hourly Research Assistant
  • Senior Undergraduate or M.S. Student
  • Starting Spring 2022
  • Contact Prof. Noah Van Dam by email: Noah_VanDam@uml.edu

This position is to help develop artificial neural network-based machine learning models of combustion in collaboration with current graduate students. Tasks may include training and comparing multiple networks, testing new network architectures, and processing results to gauge network performance. Students interested in working on this project must have strong programming skills. Prior experience with Python and linux systems is strongly desired. Prior work with Tensorflow/Keras and neural network model programming is also beneficial. This is an excellent opportunity for any student wishing to get experience in real-world scientific machine learning applications. Women and members of underrepresented minorities are encouraged to apply.

Engineering Simulation Error Estimation

  • Hourly Research Assistant
  • M.S. Student
  • Starting Spring or Summer 2022
  • Contact Prof. Noah Van Dam by email: Noah_VanDam@uml.edu

I am looking for a motivated student, interested in the details of numerical methods to work on a project developing new techniques to estimate the error in large-scale, complex engineering simulations. The student will look into the behavior of numerical error as the local cell size is increased, and develop techniques to capture non-asymptotic error behaviors. This project would make an excellent thesis for the interested student. The student should have a strong background in numerical methods and numerical analysis. Women and members of underrepresented minorities are encouraged to apply.

Multi-material 3D Printing for Large Scale Ceramics Manufacturing

  • Doctoral Research Assistant
  • Preferred start: January 2022, delayed start in May 2022 or September 2022 will be considered
  • Candidate can be either a graduating/graduated senior, or a Master's level student looking to pursue their doctorate
  • Contact Prof. Chris Hansen by email: Christopher_Hansen@uml.edu

This student researcher will develop and use a multi-material 3D printer for ceramics manufacturing, and characterize the post-processing of those ceramics. The goal of the program is to dramatically accelerate the manufacture of ceramics through tailoring the specific compositions. The student will gain expertise in 3D printing specifically in multi-material 3D printing, and in materials processing, specifically in polymers loaded with ceramic particles. The 3D printer will require modifications, and so there is scope for design of machines. Students may also augment their characterization with simulations/models of the ceramics processing. This project is funded by the Office of Naval Research and the student will be supported for the duration of their doctoral studies.

3D Printing of Magnets for Renewable Energy Applications

  • Doctoral Research Assistant
  • Preferred start: Jan. 2022, start delayed to May 2022 or Sept. 2022 will be considered
  • Candidate can be either a graduating/graduated senior, or a Master's level student looking to pursue their doctorate
  • Contact Prof. Chris Hansen by email: Christopher_Hansen@uml.edu

This student researcher will develop and use a 3D printer for fabrication of magnets, and characterize the post-processing and performance of those magnets. The goal of the program is to enable the capture of energy from linear motion, such as from the vertical motion caused by ocean waves. The student will gain expertise in 3D printing specifically in direct ink write printing, and in materials processing, specifically in polymers loaded with magnetic particles. The 3D printer will require modifications, and so there is scope for design of machines. Students will interface with Electrical Engineering students on the larger project team. This project is funded by the Office of Naval Research and the student will be supported for the duration of their doctoral studies.