Graduate Resources

For teaching assistantship opportunities please fill out the form: Computer Science and Engineering,  Electrical and Computer Engineering,  Industrial and Systems Engineering,  Mechanical Engineering 

Please contact the faculty members for more information.

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Position Available: Ph.D. Research Assistantship in Medical Imaging with Dr. Alycen Wiacek

Position Description: A funded Ph.D. position is currently open in the Medical Acoustics for Global Health, Imaging and Clinical Translation (MAGIC) lab in the Department of Electrical and Computer Engineering at Oakland University. Research areas include artificial intelligence, signal processing, image registration, mathematical modeling, and multi-modal image fusion to understand and improve the diagnosis and treatment of disease using ultrasound and photoacoustic imaging. More information can be found on the lab website: www.secs.oakland.edu/~awiacek

Desired Qualifications:

BS in Electrical Engineering, Biomedical Engineering, Mechanical Engineering, Computer Science or related discipline
Proficient in Matlab and/or Python
Self-motivated
Strong communication skills
Desire to learn biological processes
Interest in engineering applications to medicine
Experience working with medical data (preferred, but not required)

The ideal candidate will start in Fall 2023. However, qualified candidates will be considered until the position is filled.

Contact:
Applications will be reviewed immediately upon submission. Please send an email with your CV and research interests to Dr. Alycen Wiacek at [email protected].

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Position Available: Ph.D. Research Assistantship, Intelligent Robotics Laboratory, with Dr. Wing-Yue Geoffrey Louie

Position Description:

A funded PhD student position is currently open in the Intelligent Robotics Laboratory in the Department of Electrical and Computer Engineering at Oakland University (Michigan, USA). The position focuses on conducting research and developing video game engines (e.g., Unreal Engine) to create immersive human-robot interaction experiences to evaluate the efficacy of new robotics technologies. We will be developing tools to conduct multi-user virtual experimentation to investigate human-robot interactions within heterogenous teams with both manned/unmanned autonomous and teleoperated robots. We will also be exploring a combination of augmented, mixed, and virtual reality hardware to improve immersive experiences during virtual experimentation. This work will be in collaboration with local industry in unmanned ground vehicles and Universities in Michigan. The student participating in this project will engage in the following general research areas: 1) Manned/Unmanned Ground Vehicles, 2) Human-Robot Interaction, 3) Virtual Experimentation in Game Engines, 4) VR/AR/XR, 5) Big Data Visualization, 5) Applications of Machine Learning/AI, 6) Robot Vision, 7) Sensor Fusion, and 8) Robotics Control.

Position Requirements:

Applicants should have at minimum a B.Sc. degree in Mechanical/Electrical/Computer Engineering or Computer Science. Applicants are expected to have the following traits:

· Strong programming skills in C++ and Python
· Hands-on experience with real-world robotic systems
· Hands-on experience with game engines
· Hands-on experience with human-robot interactions
· Theoretical and applied knowledge in data analysis
· Excellent written and verbal communication skills
· Capable of independently managing projects

The ideal candidate has also relevant experience with:

· Unreal Engine or equivalent
· Robot Operating System (ROS)
· Augmented/Virtual/Mixed Reality or OpenGL development
· OpenCV
· Tensorflow/Caffe/Pytorch
· Studying Human-Robot Interactions

Contact: [email protected] or (248)370-2860

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Position Available: Research Assistantship with Dr. Wing-Yue Geoffrey Louie

Position Description
MASc and PhD student positions focusing on teachable robots for society (e.g. personal, service, space, healthcare, manufacturing, and military applications) are currently open in the Department of Electrical and Computer Engineering at Oakland University. This position will focus on the following general research areas: 1) Robotics, 2) Human-Robot Interaction, 3) Robot Learning from Demonstration, 4) Applications of Machine Learning/AI, 5) Robot Vision, and 6) Sensor Fusion.

Position Requirements
Applicants should have at minimum a B.Sc. degree in Mechanical/Electrical/Computer Engineering or Computer Science. Relevant experience in computer programming (C++ & Python), machine learning, and robotics is desired. Applicants with hands-on experience with Robot Operating System (ROS), real-world robotic systems, and a prior publication record will be strongly considered.

Contact: [email protected] or (248)370-2860

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Positions Available: Ph.D. Positions (Control Systems) with Dr. Jun Chen

Position Description:

Dr. Jun Chen has two available Ph.D. positions in the Department of Electrical and Computer Engineering at Oakland University. The research areas include (but not limited to) Advanced Control and Optimization, Machine Learning, Automotive Systems, Energy Systems, Embedded Systems.The Ph.D. program is expected to start in August 2020 and fellowship will be awarded for promising competent applicants.

Position Requirements:

Applicants should have a B.S. or M.S. (preferred) degree in electrical engineering, mechanical engineering, industrial engineering or a closely related field. Self-motivation,good communication and programming skills are expected. Previous background in control theory,signal processing, machine learning, or embedded systems are highly appreciated. Other experience in mechatronics, electronics, mathematics, and/or modeling are also appreciated. Interested students are highly encouraged to contact Dr. Chen immediately at [email protected] with CV, transcripts, a short paragraph of statement of interests, and GRE/TOEFL (if applicable).

Contact: [email protected]

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Position Available: Research Assistantship with Dr. Mehdi Bagherzadeh.

Position Description
A funded  Ph.D. position in any areas of Software Engineering, Programming Languages or Formal Methods is available in the Department of Computer Science, Oakland University.

Position Requirements
A successful candidate for this position is a highly motivated   student looking for a full-time   Ph.D. position holding a degree in either Computer Science/Engineering or Electrical Engineering.

Contact:  [email protected]

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Position Available: Research Assistant with Dr. Daniel Llamocca

Position Description: A Ph.D. student position in Reconfigurable Computing at Oakland University. The successful candidate will work under the direction of Dr. Llamocca. Current research areas include i)hardware development for automotive and video compression applications, ii) embedded system design with FPGAs, and iii) Run-Time Reconfigurable Techniques on FPGAs.

Position Requirements: Applicants should have a B.Sc. degree in electrical/computer engineering. Relevant experience in hardware design, signal processing, and embedded systems is desired. Self-motivation, good programming skills, writing skills, and willingness to work in a collaborative environment are expected.

Contact: [email protected] or (248) 370-4042

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Position Available: Research Assistant with Dr. Jonathan Maisonnevue

Position Description: A Ph.D. position in the area of renewable energy systems is currently open in the Department of Mechanical Engineering, Oakland University.

Position Requirements: Applicant should hold degree in either mechanical engineering, electrical engineering, physics or equivalent. Some experience related to biology or chemistry is an asset. Candidates with publication record will be given priority. Please provide CV and transcripts when applying.

Contact: Dr. Jonathan Maisonneuve, [email protected]

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Position Available: Graduate Research Assistant for a Virtual Reality Driving Simulator Project

Position Description: A fully funded graduate research assistant (GRA) position is currently open in the School of Engineering and Computer Science at Oakland University (Michigan, USA). The Augmented Reality Center and Human-Centered Engineering lab  are seeking a motivated student who will develop a virtual reality (VR) driving simulator using game engines (e.g., Unreal Engine) and VR headsets (e.g., HTC Vive) to create immersive experiences for drivers and passengers in automated vehicles. This work will be in collaboration with the automotive and game industry.

Position Start Date: July 2022 or September 2022
The initial appointment will be a full-time (20 hours/week) GRA position for two semesters (September 2022 – April 2023). For a current OU student, this position can start earlier and the initial appointment can be a waged position (40 hours/week) over the summer (July – August 2022), which will be followed by the full-time GRA position. The position may be further extended depending on the student’s performance and the availability of funding

Position Requirements: 
Minimum qualifications:
A bachelor’s degree in computer science, electrical/computer engineering, or closely related field
Strong programming skills in C++ and Python
Hands-on experience with game engines (e.g., Unreal Engine or Unity 3D)
Interest in and enthusiasm for virtual, augmented, or mixed reality development

Preferred qualifications:
A master’s degree in computer science, electrical/computer engineering, or closely related field
Experience in VR/AR/MR development
Experience in an open-source driving simulator (e.g., CARLA)
Published papers on VR/AR/MR

Contact: please send your CV and a cover letter outlining your interest and experience to Dr. Hy Kim at [email protected]

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Position Available: A Graduate Research Assistant (GRA) Position with Dr. Yongsoon Yoon

Position Description: A funded Ph.D. student position in the area of controls and diagnostics of automotive and energy systems is available starting Fall 2022 in the Mechanical Engineering Department, Oakland University. The successful candidate will work under the direction of Dr. Yoon. The current projects include: 1) design and control of electric-hydraulic hybrid drivetrain, 2) lithium-ion battery management algorithm development.

Position Requirements: Applicants should have B.S. and M.S. (preferred) degrees in Mechanical Engineering, Electrical Engineering, or a closely related field. Self-motivation and good communication skills are expected. Background in control theory, programming skills (MATLAB/Simulink) and hands-on experience with real-time systems (dSPACE, Speedgoat, Labview, Arduino, and etc.) are highly appreciated. Interested students are encouraged to contact Dr. Yoon at [email protected] with CV, transcripts (unofficial is fine), a brief statement of interests.

Dr. Yoon’s Group Website: https://sites.google.com/view/yyoon

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Position Available: Research Assistant AI in Healthcare and AI in Cybersecurity Graduate Research Assistants – Winter, Summer, and Fall 2022

Position Description: SMILES Lab has multiple Ph.D. research assistant openings starting from Winter 2022 in the areas of AI in healthcare and AI in cybersecurity. Highly motivated applicants with prior experience in Knowledge Graph, Machine Learning, Multimedia Forensics, explainable AI, NLP, Federated Learning are encouraged to apply. For details of projects and publications, see https://www.secs.oakland.edu/~Mahmood/

Position Requirements: 

Essential Qualifications for AI in Healthcare project Neurology and Neurosurgery
• Applicants must have B.S. or M.S. degree in Computer Science, Computer Engineering, or a closely related field. Must have a 3.0 or higher cumulative GPA
• Basic knowledge of Machine/Deep Learning with federated learning, and Trust-worthy AI.
• Basic Knowledge of signal processing and Medical Imaging or Clinical Text processing.
• Prior experience in medical imaging such as DSA, MRA, CTA, and CT/MRI is preferred.
• Basic knowledge of Brain and Spine Anatomy is preferred.
• Interest in emerging deep learning architectures such as visual transformers, knowledge graph generation, knowledge-infused learning.
• Interest in solving challenges related to data fusion, federated learning, explainability and robustness of AI models.
• Excellent analytical, technical, and problem-solving skills
• Excellent programming skills in Python and PyTorch.
• Excellent communication and presentation skills, including experience in communicating across discipline boundaries.
• Working in a Linux environment, with experience of shell scripting, cluster, or cloud computing.

Essential Qualifications for AI in Cybersecurity
• Applicants must have B.S. or M.S. degree in Computer Science, Computer Engineering, or a closely related field. Must have a 3.0 or higher cumulative GPA
• Basic knowledge of Machine/Deep Learning, multimedia forgery detection/generation models, and Trust-worthy AI.
• Interest in emerging deep learning architectures such as visual transformers, deep reinforcement learning, etc. knowledge graph generation, hybrid knowledge and machine learning techniques.
• Basic Knowledge of Audio and Video processing.
• Prior experience in Audio video forgery detection including deepfake is preferred.
• Interest in solving challenges related to data fusion, federated learning, AI Explainability, and robustness of AI models.
• Excellent analytical, technical, and problem-solving skills
• Excellent programming skills in Python and PyTorch.
• Excellent communication and presentation skills, including experience in communicating across discipline boundaries.
• Working in a Linux environment, with experience of shell scripting, cluster, or cloud computing.

Contact: If interested, please email [email protected] with a full CV, publications/examples of academic writing (report, thesis if applicable), and transcripts.