Research Assistantship Opportunities

Explore opportunities to lead research that creates and expands knowledge, and transforms the world.

Open Opportunities

Cybersecurity operations often require processing and analyzing a variety of logs and threat intelligence. With constant evolving attacks and networked system configurations, security analysts face constant pressure to find critical information in a large volume of noisy data.

Professor Yang's research group is seeking motivated students who are interested in artificial intelligence, machine learning, data science, and cybersecurity to join his research group to continue to explore and develop advances that can assist security analysts for efficient and effective cyber defense operations.

To apply, please contact:

Shanchieh Yang headshot
Department of Computer Engineering
Kate Gleason College of Engineering
Director of Research, ESL Global Cybersecurity Institute

Do you have a strong interest in Artificial Intelligence and how it impacts and interfaces with humans?

Please consider applying to the AWARE-AI NSF Research Traineeship (NRT) Program at RIT by March 1.

Apply here

Students admitted to or currently enrolled in the following RIT Ph.D. and MS on-campus programs in Rochester, New York can apply for a traineeship with the AWARE-AI NRT Program. In addition, if eligible, applicants will also be considered for a fellowship.

AWARE-AI Trainees experience convergent AI research guided by accomplished faculty in cross-disciplinary research tracks and carefully curated career-advancing activities that directly address skill gaps in graduate AI curricula.

Ph.D. Programs

MS Programs

Students are recommended to apply prior to their second year of graduate study. We especially encourage women, deaf or hard-of-hearing, African American, Latino/a American, and Native American students to apply to AWARE-AI.  

Research tracks include:

Software - Trainees investigate machine learning innovations and how to develop AI systems capable of processing multimodal streams of information over time as flexibly as a human.

Hardware - Trainees advance human-robot collaboration and AI on the edge to achieve human trust in automation, and continual machine learning on robotic systems.

Human-Computer Interaction - Trainees evaluate the needs of older adults with hearing loss in regard to speech technology and develop and assess AI prototype systems.

Cognitive Modeling - Trainees investigate human cognitive states and assess AI system reliability, focusing on understudied populations of AI users across the human lifespan or with disabilities.

Learn More

Questions? Please contact the AWARE-AI NRT Director, Cecilia Alm, Ph.D. at

Seeking up to five students at all levels for to work on research projects related to Biomechatronics. Specific projects involve design, fabrication, and testing of soft robotic actuators and sensors with a particular focus on wearable applications.  

To apply, please contact:

Dr. Medlar is looking for Ph.D. students to aid in the development of theoretical and computational methods to model energy carrier transport at the nanoscale. Prospective students should have knowledge of, or interest in, solid state physics and computer simulations of physical phenomena.

To apply, please contact:

Michael Medlar headshot
Assistant Professor
Department of Manufacturing and Mechanical Engineering Technology
College of Engineering Technology

We invite applications for multiple Ph.D. student assistantship in the Flow Physics and Modeling lab at RIT. The students will conduct research in the areas of machine learning aided modeling, computational fluid dynamics, multiphysics modeling, flow sensing, biolocomotion and biomedical engineering. They will receive the financial support for full tuition fee and living expense.

Learn more

To apply, please contact:

Qian Xue headshot
Associate Professor
Department of Mechanical Engineering
Kate Gleason College of Engineering

Dr. Michael Zuzak, assistant professor of computer engineering, is hiring MS/Ph.D. students interested in hardware security. If you are highly motivated and interested in working on high-impact research related to side-channel attacks and reverse-engineering-resistant hardware design, please contact Dr. Michael Zuzak.

Candidates with a background in 1) VLSI design; 2) security; or 3) programming are preferred, but not required. Funding is available. 

To apply, please contact:

In this project, the lubricating ability of new families of Ionic Lubricants will be investigated as neat lubricants and additives to several low viscosity base oils. This project will include the synthesis and characterization of new families of PILs and experimental macro-/nano- characterization of their tribological properties to develop the knowledge necessary for the rationally use of these promising ionic fluids in EVs.

Learn more

To apply, please contact:

The RIT Integrated Photonics Group has multiple openings for BS (part-time and co-op)/MS/Ph.D. students to work on integrated photonics research. Current research projects include: 

  • Neuromorphic computing using photonic circuits on a chip
  • Quantum photonic devices/circuits/systems for quantum computing, communication and sensing
  • Bio/chemical sensing (including COVID) on a photonic chip
  • Integrated photonic packaging (optical fiber/laser integration/photonic wire bonding and micro-optics)
  • III-V on Silicon lasers/emitters, modulators, detectors
  • Nonlinear optic devices and circuits (lithium niobate, KTP, Silicon)
  • Integrated photonic education kits and workshops

Learn more

Integrated Photonics.

To apply, please contact: 

Stefan Preble headshot
Department of Electrical and Microelectronic Engineering
Kate Gleason College of Engineering
Graduate Program Director, Microsystems Engineering Ph.D.

Fully-funded Ph.D. research assistant positions are available at the Intelligent Interaction Research Lab at the RIT. Successful candidates will conduct research on developing new human-machine interaction technologies for health care.

Starting time: Spring or Fall 2023 

1.    MS or BS in electrical engineering, computer engineering, computer science, mechanical engineering, biomedical engineering (medical instrumentation track), or a related field.
2.    Demonstration of previous research experiences (e.g., publications, thesis, tech reports, etc.)
3.    Strong programming skills

Extra credits:
1.    Hands-on hardware experiences (e.g., sensor development)
2.    Robot operation
3.    Human subject experiment

Application Materials: 
1.    CV
2.    Transcripts (if you are an MS student, please also send your BS transcript)
3.    Demonstration of previous research experiences
4.    English test scores (if you are international and have not earned a degree in the U.S. or Canada)
5.    GRE scores (if available)

Please send application materials to:

Zhi Zheng headshot
Assistant Professor
Department of Biomedical Engineering
Kate Gleason College of Engineering

We are currently seeking 1 MS and 1 Ph.D. student to join the LIU Lab (Brown Hall 1127). Our research focus revolves design and synthesis of a wide range of functional nanoporous composites for small gas molecule capture and catalytic transformations via thermal or photo-catalytic pathways for environmental remediation and clean energy fuel generation.  

If you are driven by innovation and eager to be at the forefront of research in this critical field, we warmly welcome you to send your CV to

Jian Liu headshot
Assistant Professor
School of Chemistry and Materials Science
College of Science

Professor Medlar's research deals with the simulation of energy carrier transport in nanoscale devices like transistors of modern microelectronics. Capabilities have been developed to model phonon transport but extensions are required to include electron transport in the near term. The overall research goals involve the development of a generalized nanoscale energy transport simulation methodology that can be used to aid fundamental investigation into the interaction and transport of energy carriers and as an engineering design tool to optimize device performance.

To apply, please contact Michael Medlar at or 585-475-4026. 

We are currently seeking two enthusiastic Ph.D. students to join the Safe AI Lab. Our research focus revolves around learning-based control, reinforcement learning, decision-making under uncertainty, and robotics, with a primary emphasis on developing cutting-edge solutions for safety-critical systems.

If you are driven by innovation and eager to be at the forefront of research in this critical field, we warmly welcome you to send your CV to:

Ali Baheri headshot
Assistant Professor
Department of Mechanical Engineering
Kate Gleason College of Engineering