These are student research positions currently available.
Research: Wearable mechatronics, IoT, and intelligent biomedical systems, Advisor: Matthew Flavin
Lab details: Flavin Neuromachines Lab
TIGs: Bioengineering, Computer Systems and Software, Electronic Design & Applications, Systems and Controls, Telecommunications
Seeking: PhD Students, 4 positions
Application Due August 31, 2026 to mflavin@gatech.edu
Research keywords: Neuroengineering, IoT, wearables, haptics, education, assistive technologies
Description:
The Flavin Neuromachines Lab is recruiting talented, driven individuals who are interested in leading projects in the areas of neural mechatronics and extended reality for patient care.
Preferred skills include:
-PCB design
-Embedded firmware design
-Experience in cloud backend development
Please contact Prof. Flavin (mflavin@gatech.edu) with a cover letter and CV.
Entry Created: August 19, 2024 at 4:54 am
Research: Foundation Models for Science and Systems Engineering, Advisor: Sriram Vishwanath
Lab details: SIGNAL
TIGs: Computer Systems and Software, Digital Signal Processing, Systems and Controls, Telecommunications
Seeking: MS students, PhD Students, 4 positions
Application Due December 21, 2025 to sriram@ece.gatech.edu
Research keywords: Foundation Models, Joint Embeddings, Multimodal Data, World Models
Description:
Research in foundation models, world models, and systems intelligence with multimodal data is at the convergence of large-scale machine learning, simulation-based reasoning, and integrated decision-making. Foundation models, trained on vast and diverse datasets, serve as adaptable bases for a wide array of downstream tasks, enabling rapid generalization across domains. World models extend this by learning structured, predictive representations of dynamic environments, allowing agents to simulate future states, reason about uncertainty, and plan actions. When these capabilities are integrated within a systems intelligence framework, the result is not just task-specific competence but an ability to coordinate sensing, reasoning, and actuation in complex, real-world scenarios. This integration becomes even more powerful when the models are designed to ingest and align heterogeneous modalities including vision, language, audio, sensor data, and symbolic knowledge into a unified representation space.
Multimodal systems intelligence builds on this foundation to enable context-aware, adaptive, and goal-directed behavior in domains where real-time perception, long-horizon prediction, and strategic decision-making must be seamlessly combined. By fusing multimodal embeddings within a world model, the system can maintain a coherent understanding of the environment, reconcile conflicting signals, and adapt to incomplete or noisy inputs. This capability is essential for applications such as autonomous robotics, AI-driven scientific discovery, and human-AI collaboration in high-stakes decision environments. The research frontier offers exciting opportunities to design models that are more expressive, capturing temporal, causal, and hierarchical dependencies, while also making them more controllable and interpretable. Graduate students who want to work at the cutting edge of AI and help shape the next generation of intelligent, adaptive systems are encouraged to reach out and be part of this work.
Entry Created: August 13, 2025 at 5:35 pm
Research: 🚀 Join the Cyber-Physical Systems Security Research Lab (CPSec) at Georgia Tech!, Advisor: Saman Zonouz
Lab details: Cyber-Physical Systems Security Research Lab (CPSec)
TIGs: Computer Systems and Software, Systems and Controls
Seeking: Undergraduate Students, MS students, PhD Students, 2 positions
Application Due December 31, 2025 to saman.zonouz@gatech.edu
Research keywords:
Description:
Are you passionate about cybersecurity, AI, drones, critical infrastructure, or embedded systems? Do you want to work on real-world projects that directly impact national security, public safety, and next-generation technologies?
The CPSec Lab, led by Prof. Saman Zonouz (School of Cybersecurity & Privacy, School of ECE), is seeking motivated undergraduate, M.S., and Ph.D. students to join our cutting-edge research teams.
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💡 Example Research Areas You Can Contribute To using REAL TESTBEDS
Cybersecurity of drones, robotics, and submarines – securing autonomy, control loops, and communication protocols.
Critical infrastructure resilience – protecting the power grid, smart energy systems, satellites, factories, and industrial control systems.
AI for trustworthy cyber-physical security – physics-informed machine learning for attack detection and defense.
Embedded and IoT security – firmware reverse engineering, SBOM extraction, intrusion detection, and secure controllers.
Supply chain security – vulnerabilities in PLCs, additive manufacturing, and industrial software pipelines.
🌟 Why Join?
Work on high-impact projects alongside federal agencies, industry partners, and top-tier universities.
Gain hands-on experience with cyber-physical testbeds, UAVs, industrial controllers, and AI-driven defense systems.
Collaborate with a team that has published in CCS, USENIX Security, IEEE S&P, NDSS, and DSN.
Opportunities to co-author papers, develop prototypes, and attend leading conferences.
Be part of a lab recognized with awards such as PECASE (Presidential Early Career Award) and NSA Significant Research Award
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📌 How to Apply
If you’re interested, please send your CV/resume and a short statement of your research interests to:
📧 saman.zonouz@gatech.edu
We welcome students from ECE, CS, AE, ME, and related fields. Whether you’re looking for a semester project, thesis, or long-term research role, there’s a place for you in CPSec.
👉 Learn more about our work: https://sites.gatech.edu/capcpsec/
https://sites.google.com/site/samanzonouz4n6/saman-zonouz
Come help shape the future of secure and resilient cyber-physical systems at Georgia Tech!
Attachments: CPSec-dinner-party-April-2025-2-Copy-1-2151fe.jpg
Entry Created: August 22, 2025 at 1:44 am
Research: Map Models of Indoor Environments, Advisor: Patricio Vela
Lab details: IVALAb
TIGs: Computer Systems and Software, Digital Signal Processing, Systems and Controls
Seeking: Undergraduate Students, MS students, PhD Students, 6 positions
Application Due January 17, 2026 to pvela@gatech.edu
Research keywords: Mapping, Indoor Maps, Image Processing, Robot Mapping
Description:
The application deadline is how long the posting will be up. Evaluation of applicants starts immediately. Position availability will change as hiring proceeds.
Requirements:
Open to UG, MS, PhD
Expect GPA to be 3.5 or higher
If lower than 3.5, must demonstrate excellent fit to a project technical area as demonstrated by experience in resume.
The project is time sensitive, thus students must demonstrate proficiency in some way.
The project may require an NDA due to involvement of other universities. Please indicate in the submission if you are ok with signing one.
Submission:
Resume with current standing, expected graduation, and GPA.
Statement of interest covering 1 or 2 positions/topics of interest and short blurb as to what in your resume indicates that you have the requisite experience to work on those topics.
Provide evidence of ability to work independently.
Context:
The project involves indoor mapping workflows that convert digital plans or maps to indoor models for use by online mapping software (think google maps), or that employ robots to map the environment the robot digital map to be converted to an indoor model. The conversion involves image processing pipelines, both traditional and learning-enhanced. There is also a need to create a functional user interface around the maps given that current automated and robotic solutions are not perfect. Human interaction will support correct maps. In addition, a web-based portal needs to be created for these maps. Preliminary software designs exist for many of these components, but must be improved and integrated. Some code requires translation from Matlab to python (the floor plan conversion code).
Project Tasks include but are not limited to:
– Application development using FLET and python image processing and computer vision libraries.
– Image processing and computer vision for indoor floor plan recognition (traditional and deep learning-based)
– Web development, front-end and back-end stacks, for creating a management portal for the maps.
– App development for working with partner apps (Android and iOS needed);
– Robotics development of an indoor mapping robot with semantic mapping of the indoor scene. Includes creation of user guidance interface for monitoring progress and correcting mapping routes.
– For proof of concept of some parts, a non-robotics solution will be made that consists of a portable data collection system with partial implementation of robotic solution.
– Route optimization program development to create near optimal navigation graphs of indoor environments. Analysis of routes to establish navigation optimality and completeness for different populations (blind, walking aid, wheelchair) relative to able-bodied routes. Programming of routing back-end for mapping systems using the resulting maps.
– Integration of digital indoor map with robotic mapping system for route-informed indoor mapping of as-built and as-decorated modeling.
Please map your skills to these project activities. They will be done over the course of a year across three semesters.
For web and app development, libraries in this document indicate what web experience is needed: https://docs.google.com/document/d/1-wHecQq4B31wTE82P2aqkJ_1uaAgyP51YCfPwgrKRXY/edit?usp=sharing
The attached document is a pdf version of this note.
Attachments: ECE_ResearchOpportunities_Mapping-154bde.pdf
Entry Created: December 16, 2025 at 2:17 pm
Research: Manipulation with Rigid and Continuum Arms, Advisor: Patricio Vela
Lab details: IVALAb
TIGs: Systems and Controls
Seeking: Undergraduate Students, MS students, PhD Students, 3 positions
Application Due January 17, 2026 to pvela@gatech.edu
Research keywords: Perception: Computer Vision, Algorithms, Motion Planning. Continuum Robots: State Estimation, Modeling, Motion Planning.
Description:
Manipulation with Rigid and Continuum Arms
The application deadline is how long the posting will be up. Evaluation of applicants starts immediately. Position availability will change as hiring proceeds.
Requirements:
Open to UG, MS, PhD
Expect GPA to be 3.5 or higher
If lower than 3.5, must demonstrate excellent fit to a project technical area as demonstrated by experience in resume.
The project is time sensitive, thus students must demonstrate proficiency in some way.
Submission:
Resume with current standing, expected graduation, and GPA.
Statement of interest covering position of interest and short blurb as to what in your resume indicates that you have the requisite experience to work on those topics.
Provide evidence of ability to work independently.
Context:
The project involves perceptual processing for manipulation motion planning. The main bottleneck here is the generation of good collision models, from perception data, with which to perform motion planning. The problem is less about motion planning algorithms and more about data organization and processing so that the algorithms run faster. Some knowledge of motion planning is needed to translate the algorithms to the perceptual data structures.
The project also involves applying these ideas to rigid and continuum manipulators. The lab works with two other collaborators, one in AE @ GT, and one at UIUC. The latter works on continuum robot designs. This position is about working together with the team to develop calibration and state estimation algorithms for continuum manipulators. Once done, there will be motion planning and control activities in coordination with the other team members. The project may need the creation of small scale prototypes here at GT.
An undergraduate researcher is also sought to assist with the above tasks.
Note: This project is not about machine learning. The perception side does not involve deep learning in any way. Please do not submit if your interest lies in learning. The continuum part might use some learning methods for state estimation, but only if more traditional methods fail. These methods have been developed and would be tested for use. Improvements would be done only if needed.
A pdf version of this note is attached.
Attachments: ECE_ResearchOpportunities_Manipulation-006590.pdf
Entry Created: December 16, 2025 at 2:25 pm