Research Assistant Positions
Get Involved
Between research assistant and volunteer opportunities, students have a multitude of ways to get involved at UTARI. In our programs, students are able to work with experienced research scientists, using state-of-the-art technology to develop the products of tomorrow.
For international students, you are not required to take a CPT course in order to have a research assistantship at UTARI.
Applications are closed. You can find a list of similar positions below.
| UTARI Division | Project Description | |
|---|---|---|
| Automation & Intelligent Systems 1 | Machine Learning: machine learning application development including computer vision to detect, classify, and track objects; reinforcement learning for control policies; supervised and unsupervised learning for data-driven system modelling, software libraries such as Tensorflow, PyTorch, etc. | |
| Automation & Intelligent Systems 2 | Autonomous Systems, Robotics and Controls 2: Design and implementation of intelligent control systems; Design of motion and path planning algorithms for mobile robots or mechanical arms; Knowledge of homogeneous transformations, forward and inverse kinematics; Sensor Integration including lidar, sonar, cameras with robotic platforms; Practical Experience with Linux, ROS, C++, and Python is preferred. | |
| Automation & Intelligent Systems 3 | Mechanical Designing and Prototyping: Design, construction and testing of system components using software tools such as SolidWorks and MasterCAM and equipment such as CNC and Laser machines, and FDM, Polyjet, and SLA 3D printers | |
| Automation & Intelligent Systems 4 | 3D modeling and Animation Development: Developing 3D models and animations of robots, devices, and functionalization steps, using software platforms such as 3D Studio Max, Blender, Maya. Use of Augmented and Virtual Reality software and hardware such as Unity and Unreal. | |
| Biomedical Technologies 1 | Mechanical design and fabrication of medical devices (Exoskeletons, Pressure Modulating Support Surfaces, Adaptive Exercise Equipment, and Wound Dressings). This role involves: CAD modeling, 3D printing, Injection molding, compression molding, and dip molding, as well as system assembly, prototyping, and testing. Preferred Skills: SolidWorks, 3D Printing, Mechanical design, Microsoft Office Tools, and documenting the processes and the results. | |
| Biomedical Technologies 2 | Numerical modeling and simulation of medical devices (Exoskeletons, Pressure Modulating Support Surfaces, and Adaptive Exercise Equipment). This role involves: Soft actuators and system design and simulation, and finite element (FE) model development. Preferred Skills: CAD modeling, 3D Slicer, ScanIP, Ansys Workbench, Ansys APDL, and OpenSim. | |
| Biomedical Technologies 3 | Modeling of robotic system and human-robot interactions for medical devices (Exoskeletons and Pressure Modulating Support Surfaces). This role involves: Kinematic and dynamic modeling and data-driven methods (machine learning). Preferred Skills: Mathematical modeling, Matlab, and python. | |
| Biomedical Technologies 4 | Control hardware and software development for medical devices (Exoskeletons, Pressure Modulating Support Surfaces, and Wound Dressings). This role involves: Circuit design and troubleshooting, embedded programming and debugging, hardware/software integration, and data collection/analysis. Preferred Skills: C/C++, MATLAB, python, Embedded programming (I2C, SPI, analog), Arduino/Hobbyist microcontroller, experience with analog and digital sensors (IMU, pressure sensors, flex sensors, load cells, and torque sensors), and developing GUIs for data acquisition test setups. | |
| Biomedical Technologies 5 | Graphical User Interfaces (GUI) development for intuitive use of medical devices (Exoskeletons, Pressure Modulating Support Surfaces, and Wound Dressings). This role involves: Designing user friendly functional front-ends (GUI) with implementing features for data capture, processing and visualization for various biomedical devices. Preferred Skills: GUI designs with GTK, proficiency in C/C++, python, Matlab, and Git. | |
| Biomedical Technologies 6 | Programming and UI development for rehabilitation gaming and other virtual environments (Exoskeletons and Exergames). This role involves: Writing scripts for game mechanics, data structure and visualization, and interaction with wearable tech; integrating with VR/AR; documenting processes; and designing functional and user-friendly GUIs for games and virtual environments. Preferred Skills: Unity, C#, Javascript, Git, WebGL, VR/AR hardware (Vive Pro 2 and HoloLens), and Arduino. | |
| Biomedical Technologies 7 | Designing graphics and art for rehabilitation games and other virtual environments (Exoskeletons and Exergames). This role involves: Designing and creating the visual aspects of games and virtual environments which include modeling 3D objects, characters, and landscapes; animations, particle systems, lighting, and rendering; and attractive designs for UI and data visualization. Preferred Skills: Unity, 3D modeling (Maya and/or Blender), Photoshop, animation, Graphic Design, C#. | |
| Biomedical Technologies 8 | Apps Android and IOS devices. This role involves developing and implementing Apps on Android and IOS devices to control medical equipment. Preferred skills: Computer science background specialized in software programming in JAVA or equivalent and previous app development experience. Apps are designed for real-time data capture and visualization as well as controlling hardware by setting operation parameters on GUI. | |
| Institute for Predictive Performance Methodologies (Dr. Raihan) | Development and optimization of finite element analysis model of heterogeneous functional material utilizing COMSOL Multiphysics. Development and optimization of Multiphysics model simulation of heterogeneous functional materials i.e. ceramic membranes, ceramic waste form material, ceramic energy conversion and storage systems. Skills: Lab Protocols & Procedures, Finite element analysis modeling, FEA commercial code i.e. Ansys, Abacus, COMSOL, MS Office, Excel, Power point, Matlab, working with ceramic material systems, knowledge about Material Characterization. | |
| Institute for Predictive Performance Methodologies (Dr. Raihan) | Projects: (1)Out of Autoclave composite parts manufacturing and also participate in the evaluation and qualification of composite materials. (2) Material State analysis of adhesively bonded structures (3) Performance and durability study of Composite parts made from degraded prepreg. (4) Additive manufacturing with chopped carbon fiber Manufacturing of composite parts (including structural capacitor, self-healing composites) using VARTM/Compression Molding System, electrospun nano composite and, Testing and Characterization of composite parts and bonds. Skills: Lab Protocols & Procedures, Engineering Drawings & Specifications CAD Package (preferably Solid Works), Good Machining skill (Milling/Lathe machine) to make molds, fixtures and CNC operation, Mechanical Testing equipment (i.e. MTS) maintenance, MS Office, Excel, Power point, Matlab, C+, Fortran, Abaqus, Ansys, COMSOL, layup and fabrication of fiber reinforced composite (CFRP) material systems, composite fabrication equipment including compression molding (Hot Press), VARTM and oven operation, knowledge about Material Characterization (DSC, TMA, TGA). | |
| Institute for Predictive Performance Methodologies (Dr. Vadlamudi) | Project-1: Multiphysics Modelling of Bonded joints. Development and optimization of Multiphysics model simulation of bonded joints and structure. Skills: Lab Protocols & Procedures, Finite element analysis modeling, FEA commercial code i.e. Ansys, Abacus, COMSOL, MS Office, Excel, Power point, Matlab, working knowledge of composite materials and adhesive bonding and Material Characterization. | |
| Institute for Predictive Performance Methodologies (Dr. Vadlamudi) | In-house 3d Printer Filament. Design and fabricate a filament extruder for ABS/PLA with reinforcements to make reinforced thermoplastic filament spools to be used in 3d printers | |
| Advanced Computational Composite Mechanics (Dr. Iarve) | Advanced Computational Composite Mechanics (ACCM) group in the Institute for Predictive Performance Methodologies (IPPM) develops novel methodologies and sophisticated computational tools for predicting the performance and durability of advanced composite materials. Preferred majors: Engineering, Applied Mathematics, and Computer Science. Related skills and projects: • Finite element method (FEM) • Extended finite element method (XFEM) • Continuum mechanics • Fracture mechanics • Mesh generation • Modern software development (languages: C/C++, Fortran, MATLAB, and/or Python) • High-performance computing (HPC) • Sparse linear algebra, iterative solvers, and matrix theory • Adaptive quadrature • Graph theory | |
| Institute for Predictive Performance Methodologies (Dr. Liu) | Develop ultra-efficient, data-driven modeling approach for the design and analysis of advanced materials and structures. The potential projects are (1) Mixed fidelity neural network modeling of tailorable composite materials and structures. (2) design and analysis of novel additively manufactured lattice metamaterials. Required skills: Finite element analysis, Abaqus, and python. | |
| Institute for Predictive Performance Methodologies (Dr. Lin) | Carbon-fiber reinforced polymer (CFRP) composite structures are gaining popular in critical industry sectors including aerospace, automobile, marine, defense, sporting good, etc. Structural integrity and damage tolerance (SIDT) is one of the most important properties of composites and the experimental characterizations are carried out prevalently for the characterization of the SIDT. The Lab for Integrity and Reliability of Advanced Materials (LIRAM) is hiring one research assistant for the in-situ nondestructive testing of composites using multiple technologies including optical metrology (digital image correlation), acoustic emission, and thermography. The aim of the project is to gain real-time damage state information of composites under loadings to improve our understanding on fundamental failure mechanisms. The research assistant is expected have good hands-on experience of integrating electronic hardware (function generator, machine vision cameras, oscilloscope) and photography. Knowledge on image processing programming and LabView will be a huge advantage | |
| Institute for Predictive Performance Methodologies (Dr. Cao) | Not hiring RA's. |