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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.

Summer 2021 research assistant applications are open. Applications close March 22, 2021.

UTARI Division Project Description
Automation & Intelligent Systems 1 (Dr. Gans, nick.gans@uta.edu) Machine Learning: machine learning application development primarily for, but not limited to, computer vision to detect, classify, and track objects in RGB and IR images using software libraries such as Tensorflow, KERAS etc.
Automation & Intelligent Systems 2 (Dr. Gans, nick.gans@uta.edu) Unmanned/Autonomous Systems: mechanical designing, prototyping, and testing of unmanned 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 3 (Dr. Gans, nick.gans@uta.edu) 3D modeling and Animation Development: developing 3D models and animations of custom parts, devices, and functionalization steps, using software platforms such as 3D Studio Max, Blender, Maya.
Automation & Intelligent Systems 4 (Dr. Gans, nick.gans@uta.edu) Radar systems development: Work with imaging radar systems, including radar set, signal processing, and data visualization.  Development will be in MATLAB and Lua.  Experience in machine learning for image classification (CNNs, RNNs, etc.) is beneficial. 
Biomedical Technologies 1 (Dr. Wijesundara, muthuw@uta.edu) Fabrication, Mechanical Modeling and Testing: dip molding using silicone, polyurethane, and neoprene, assembling molding setup, performing tooling design, development of silicone molding processes, CAD design using Solidworks, and mechanical design for the molding setup. Skills: CAD design, Solidworks experience, 3D printing experience, Mechanical Design.
Biomedical Technologies 2 (Dr. Wijesundara, muthuw@uta.edu) Instrumentation: Embedded programming in C based languages and MATLAB, developing GUIs for data acquisition test setups, and integrating analog sensors with microcontrollers for data collection/analysis. PCB designing and soldering. Skills: C/C++, MATLAB, python, Embedded programming, Arduino/Hobbyist microcontroller.
Biomedical Technologies 3 (Dr. Wijesundara, muthuw@uta.edu) Numerical Modeling and Simulation: developing finite element models using Ansys. Skills: CAD modeling, Ansys Workbench, Ansys APDL.
Biomedical Technologies 4 (Dr. Wijesundara, muthuw@uta.edu) Graphical User Interfaces Development (GUI): designing intuitive and user friendly functional front-ends (GUI) for various biomedical automation projects, implement features for data capture, processing and visualization in python and NodeJS. Skills: GUI designs with GTK and web designs, proficiency in C/C++, python, NodeJS, Git.
Dynamic Networks and Control Laboratory (Dr. Wan, yan.wan@uta.edu) Undergraduate and graduate research in control, learning, robotics, embedded systems, and circuitry.
Institute for Predictive Performance Methodologies (Dr. Reifsnider, kenneth.reifsnider@uta.edu) 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, mdrassel.raihan@uta.edu) 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, vamsee.vadlamudi@uta.edu) 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.

Project-2: Portable impedance spectrometer.
Develop a portable impedance spectrometer (frequency range (1 Hz to 10 MHz). Skills: Good understanding of microcontroller, Arduino/raspberry pi, programming experience with Python/C.
Advanced Computational Composite Mechanics (Dr. Iarve, endel.iarve@uta.edu) 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
Sensor Systems (Dr. Clements, eclements@uta.edu) Design, development, and testing of systems with integrated sensors (such as pressure, audio, and IMU) and a graphical user interface. Skills: MATLAB, C/C++, implementing sensor systems, embedded programming, arduino microcontroller, data collection and analysis, circuit design, and PCB fabrication, good written and verbal communication skills.
Data-driven multiscale modeling of advanced materials and structures by mechanics of structure genome and machine learning (Dr. Liu, xin.liu@uta.edu) -Project (1): Multiscale inverse identification of nonlinear constitutive laws in fiber-reinforced composites using neural networks with the measurable structural responses.
Data-driven multiscale modeling of advanced materials and structures by mechanics of structure genome and machine learning (Dr. Liu, xin.liu@uta.edu) -Project (2): Data-driven multiscale modeling of metal additively manufactured materials. Related skills: mechanics of composites, neural networks, python, finite element method, abaqus, Linux
Institute for Predictive Performance Methodologies (Dr. Cao) No current positions.