Research Assistantship Opportunities
Explore opportunities to lead research that creates and expands knowledge, and transforms the world.
Advanced Manufacturing
The Kirmani Group at the School of Chemistry and Materials Science (SCMS) is advancing printable electronics using inorganic semiconductor inks such as metal-halide perovskites, colloidal quantum dots, and metal oxides for terrestrial and space applications.
This Ph.D. position focuses on exploring high-speed scalable coating techniques, including slot-die coating, roll-to-roll coating, and ink-jet printing, for perovskite and metal oxide semiconductor thin films and devices. The candidate will establish ink-process-interface-structure-property relationships by investigating perovskite and metal oxide semiconductor ink chemistry and rheology, coating processes, film interfaces, structure, and device performance. The research will include synchrotron X-ray scattering studies conducted at the Cornell High Energy Synchrotron Source (CHESS) and the National Synchrotron Light Source-II (NSLS-II). This work aims to establish design rules for high-performance solar cells and transistors using industry-compatible fabrication techniques.
To apply, please contact:
Prof. Wuertz-Kozak is looking for a Ph.D. student to join the Tissue Regeneration and Mechanobiology Laboratory. The lab aims to understand the cellular mechanisms underlying specific pathologies, with a focus on inflammation, and to utilize this knowledge for the development of novel treatment options that allow for tissue regeneration and pain reduction.
Requirements:
1. MS in biomedical engineering, pharmaceutical science, cell biology, or a related field
2. Demonstration of previous research experience
3. Strong skills/experience in cell culture and analysis (e.g. qPCR, ELISA)
4. Fluent in English (spoken and written)
Note that candidates with a BS that have sufficient research experience will be considered.
Please contact:
Artificial Intelligence and Machine Learning Systems
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.
To apply, please contact:
Dr. Michael Zuzak, assistant professor of computer engineering, is hiring 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:
The Iontronic and Nanoelectronic Lab at RIT are looking for one to two Ph.D./MS students. Current research projects include two-dimensional (2D) materials-based nanoelectronic and iontronic (Ion-controlled electronic) devices, with the focus on understanding ion-electron transport at the molecular level, for application in next-generation energy-efficient electronic devices at the limit of scaling for memory, logic, energy storage, neuromorphic computing, and quantum information science.
To apply, please contact:
Solving problems at the intersection of artificial intelligence and chemistry, materials science and engineering.
I’m looking for Ph.D. students who are comfortable with both Python coding and chemistry. We will be tackling problems associated with optimization of solar cells, predicting crystal structures (and other properties) for photoactive materials and optimizing processes for manufacture.
To apply, please contact:
Biomedical and Healthcare Engineering
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:
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.
To apply, please contact:
Prof. Wuertz-Kozak is looking for a Ph.D. student to join the Tissue Regeneration and Mechanobiology Laboratory. The lab aims to understand the cellular mechanisms underlying specific pathologies, with a focus on inflammation, and to utilize this knowledge for the development of novel treatment options that allow for tissue regeneration and pain reduction.
Requirements:
1. MS in biomedical engineering, pharmaceutical science, cell biology, or a related field
2. Demonstration of previous research experience
3. Strong skills/experience in cell culture and analysis (e.g. qPCR, ELISA)
4. Fluent in English (spoken and written)
Note that candidates with a BS that have sufficient research experience will be considered.
Please contact:
Cyber-physical Systems
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.
To apply, please contact:
Dr. Michael Zuzak, assistant professor of computer engineering, is hiring 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:
Data Analysis, Modeling and Simulations
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.
To apply, please contact:
Data Communications
Dr. Alireza Vahid is looking for motivated candidates to work on problems in communication theory, wireless sensing, information and coding theory, and applications of machine learning in wireless systems. Candidates from closely related areas such as computer science, computer engineering, statistics, and mathematics will be considered.
There are currently open positions for Postdoctoral Researchers, Ph.D. students, and exchange Ph.D. students.
Qualifications Postdocs: The candidate must have a Ph.D. or be close to obtaining their Ph.D. degree. The candidate must have a strong publication record.
Qualifications Ph.D. Students: The ideal candidate is well-versed in mathematics and statistics, should be fluent in at least one computer programming language (C++ or Python preferred), and has good TOEFL/GRE scores. Previous publications are preferred.
Start Date: Flexible for postdocs. Fall ’24 for Ph.D. students.
Compensation: Selected candidates will enjoy competitive salary and benefits.
Application: Send your complete CV and the contact information for two references to Dr. Vahid's email address.
Energy and Environment
The Kirmani Group at the School of Chemistry and Materials Science (SCMS) is advancing printable electronics using inorganic semiconductor inks such as metal-halide perovskites, colloidal quantum dots, and metal oxides for terrestrial and space applications.
This Ph.D. position focuses on exploring high-speed scalable coating techniques, including slot-die coating, roll-to-roll coating, and ink-jet printing, for perovskite and metal oxide semiconductor thin films and devices. The candidate will establish ink-process-interface-structure-property relationships by investigating perovskite and metal oxide semiconductor ink chemistry and rheology, coating processes, film interfaces, structure, and device performance. The research will include synchrotron X-ray scattering studies conducted at the Cornell High Energy Synchrotron Source (CHESS) and the National Synchrotron Light Source-II (NSLS-II). This work aims to establish design rules for high-performance solar cells and transistors using industry-compatible fabrication techniques.
To apply, please contact:
We are currently seeking one MS and one 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 kjlsch@rit.edu.
Micro/Nanoscale Systems, Devices, and Materials
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:
Solving problems at the intersection of artificial intelligence and chemistry, materials science and engineering.
I’m looking for Ph.D. students who are comfortable with both Python coding and chemistry. We will be tackling problems associated with optimization of solar cells, predicting crystal structures (and other properties) for photoactive materials and optimizing processes for manufacture.
To apply, please contact:
Dr. Michael Zuzak, assistant professor of computer engineering, is hiring 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:
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
To apply, please contact:
The Kirmani Group at the School of Chemistry and Materials Science (SCMS) is advancing printable electronics using inorganic semiconductor inks such as metal-halide perovskites, colloidal quantum dots, and metal oxides for terrestrial and space applications.
This Ph.D. position focuses on exploring high-speed scalable coating techniques, including slot-die coating, roll-to-roll coating, and ink-jet printing, for perovskite and metal oxide semiconductor thin films and devices. The candidate will establish ink-process-interface-structure-property relationships by investigating perovskite and metal oxide semiconductor ink chemistry and rheology, coating processes, film interfaces, structure, and device performance. The research will include synchrotron X-ray scattering studies conducted at the Cornell High Energy Synchrotron Source (CHESS) and the National Synchrotron Light Source-II (NSLS-II). This work aims to establish design rules for high-performance solar cells and transistors using industry-compatible fabrication techniques.
To apply, please contact:
The Iontronic and Nanoelectronic Lab at RIT are looking for one to two Ph.D./MS students. Current research projects include two-dimensional (2D) materials-based nanoelectronic and iontronic (Ion-controlled electronic) devices, with the focus on understanding ion-electron transport at the molecular level, for application in next-generation energy-efficient electronic devices at the limit of scaling for memory, logic, energy storage, neuromorphic computing, and quantum information science.
To apply, please contact:
We are currently seeking one MS and one 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 kjlsch@rit.edu.
RAMLab is looking for qualified MS and Ph.D. candidates looking to specialize in semiconductor IC design (analog/mixed-signal and RF systems). Current projects are in the areas of Biosensing, HW Security, Neuromorphic IC and CMOS+X design.
More details are be found at www.rit.edu/ramlab. If interested, please contact Dr. Das with your resume, background, and a brief statement summarizing your motivation to join us.
Prof. Wuertz-Kozak is looking for a Ph.D. student to join the Tissue Regeneration and Mechanobiology Laboratory. The lab aims to understand the cellular mechanisms underlying specific pathologies, with a focus on inflammation, and to utilize this knowledge for the development of novel treatment options that allow for tissue regeneration and pain reduction.
Requirements:
1. MS in biomedical engineering, pharmaceutical science, cell biology, or a related field
2. Demonstration of previous research experience
3. Strong skills/experience in cell culture and analysis (e.g. qPCR, ELISA)
4. Fluent in English (spoken and written)
Note that candidates with a BS that have sufficient research experience will be considered.
Please contact:
Other
We are seeking Ph.D. students interested in researching human-centered artificial intelligence methods for robotics. Specifically, methods focused on diverse sets of individuals (e.g., Deaf or Hard of Hearing). Our lab has multiple robots available to support the work and a multitude of courses to build the necessary fundamentals.
To apply, please contact:
Dr. Lewis is looking for individuals with a background in materials science and an interest in the 3D printing (3DP) of polymers. This position will involve researching new materials for polymer 3DP, with an emphasis on new printing strategies and sustainable monomers/polymers. Funding for this work will be supplied by the DOD and requires that the candidate is a US citizen.
Candidates with degrees in chemical or materials engineering would likely be well qualified for this position. Those from other engineering disciplines, as well as those with undergraduate degrees in physics or chemistry, would also be well suited for this position, provided they have a strong background/interest in materials science and engineering and/or chemistry.
To apply, please contact:
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.
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
- Biomedical and Chemical Engineering
- Computing and Information Sciences
- Electrical and Computer Engineering
- Imaging Science
- Mathematical Modeling
- Mechanical and Industrial Engineering
- Microsystems Engineering
MS Programs
- Computer Engineering
- Computer Science
- Data Science
- Electrical Engineering
- Experimental Psychology
- Human-Computer Interaction
- Information Technology and Analytics
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.
Questions? Please contact the AWARE-AI NRT Director, Cecilia Alm, Ph.D. at awareainrt@rit.edu.
Brain Lab is looking for a highly motivated and passionate Ph.D. student to conduct research on design for testability and built-in self-test of spiking neuromorphic hardware. Ideal candidates should have a mixture of analog/digital hardware design experience, proficiency in machine learning algorithms, and a strong math background. Excellent programming skills are required.
Please contact:
Dr. Sunwoong "Sunny" Kim is looking for self-motivated Ph.D. candidates proficient in designing custom hardware accelerators. This position is available starting from Spring 2024 or Fall 2024. The candidates will be conducting research on FPGA-based or programmable SoC-based accelerators for cryptography.
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.
To apply, please contact:
Dr. Mohapatra is looking for Graduate/Masters/Ph.D. students to aid in the development of theoretical and computational methods to model the assembly of biological structures. Prospective students should have experience (or interest in) conducting simulations of physical phenomena or image processing.
Please contact:
The Multicore Systems Lab/Integrated Computing and Communications Lab (Brown Hall) is looking to a Ph.D. student interested in working with hardware security of multicore processors, networks-on-chips and server systems.
To apply, please contact:
We are looking for one to two Master's and one Ph.D. student to join the Nanomaterials and Spectroscopy lab at RIT. We are interested in developing luminescent nanomaterials especially fluorescent materials for various applications in sensing, imaging, and lighting. We also utilize the single-molecule spectroscopy to characterize the heterogeneous nano-catalysts. Properties in both ensemble and single-molecule levels are investigated. Our goal is to explore new approaches for chemical and biomedical monitoring and chemical processing.
Please contact:
Looking for a Masters of Ph.D. student to work on a research project involving the Mathewsh HDL color tool to target algorithms to FPGAs for computer vision applications.
Please contact:
We have openings for two Ph.D. students beginning in the fall semester.
The extent to which electronic cigarette users may compensate for lower nicotine eliquids by consuming more product has particular implications on the effectiveness of clinical and regulatory interventions. Decisions to use reduced nicotine products or regulations limiting nicotine concentration in eliquids may not reduce nicotine consumption. In fact, such decisions might result in adverse health effects arising from increased consumption of harmful constituents. This project aims to provide evidence to inform regulatory policy on nicotine content in e-liquids by elucidating how nicotine absorption in the body is jointly affected by e-liquid nicotine concentration and vaping behavior.
We are seeking students interested in conducting human subject research related to the use of electronic cigarette's in the participant's natural environment. We seek one student with interest in learning how to manage an IRB approved human subject observation study including accute and subchronic ambulatory behavior and biomarker monitoring, administration of study enrollment eligibility, laboratory visit appointments, and statistical outcome analysis. We seek one student with interest in Computer Aided Design or ECAD to contribute to rapid development of novel monitors to measure personalized e-cig use of emerging tobacco products.
To apply, please contact:
The Robotic Collaboration and Autonomy Lab (RoCAL) endeavors to improve the performance and reliability of robotic collaborative environmental perception, motion planning, and robot learning, through probabilistic methods and learning techniques.
The current vacancy in RoCAL is for dynamically tracking deformation and modification in minimally invasive surgeries use computer vision and causal learning methods. These positions require applicants to have a strong research interest in this research problem, experience in pytorch programming, and understanding of pyro and Bayesian networks.
Please contact:
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:
An opportunity on simulation of soft materials is available. The Ph.D. student will have the opportunity to utilize statistical mechanics, advanced sampling techniques, and molecular dynamics simulations to study a structure-property relationships of polymer composites. The ultimate goal is to understand the relationship between polymer architecture, sequence, and topology of the microstructure so that design relationships can be established.
To apply, please contact Poornima Padmanabhan at the Poornima Research Group.
We propose to examine the liquid film coating of novel polymeric materials via both theory and experiment. The research will develop various chemistries, study their properties, and examine how they perform when coated as thin liquid films on the bench scale. The ultimate tests of these materials will be pilot scale roll-to-roll coatings of these materials in facilities housed at RIT. Theoretical work will complement the experimental studies, both in coating and drying processes. There is ample opportunity to publish on various aspects of this work.
Please contact:
Please contact specific departments to inquire about additional opportunities.