Current/Prospective Students: Thank you for your interest in the Research/Support Positions in the College of Engineering and Computer Science (CECS). Below is a collection of opportunities available. Use the filter, sort, and keyword search features to identify positions that interest you. Specific questions about the positions may be directed towards the advisor/faculty. For general guidance about graduate assistantships, please review this resource.
Advisors/Faculty: If you have a position that you would like posted on the website, please forward that information to Austin Koszer by answering the questions in the email sent previously. If you have any questions, then contact Tracey Ziebro.
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Fair and Explainable AI (Position Ref No.: oga-olpweose-23)
Position Type:
Graduate Research Assistant
| Department: | Industrial Engineering and Management Systems |
|---|---|
| Description: | Graduate student will work on developing novel machine learning models to address algorithmic bias and explainability in machine learning applications. |
| Level: | PhD |
| Advisor: | Ozlem Ozmen Garibay |
| Lab/Group Name: | Human Centered AI Research Lab (Human-CAIR Lab) |
| Keywords: | Fairness in AI, Explainable AI, Responsible AI |
| Location(s): | UCF Main Campus, Other |
Cyber Security and Privacy (Position Ref No.: oga-mwopeqw-23)
Position Type:
Graduate Research Assistant
| Department: | Computer Science |
|---|---|
| Description: | Conduct research in the area of cybersecurity and privacy, especially on networking and communication security and privacy. |
| Level: | PhD |
| Advisor: | Cliff Zou |
| Lab/Group Name: | Data Systems Group |
| Keywords: | Cybersecurity, Privacy, Networking, Performance evaluation |
| Location(s): | UCF Main Campus |
Inferring and Securing Software Configuration (Position Ref No.: oga-vwerat-23)
Position Type:
Graduate Research Assistant,
Researcher
| Department: | Computer Science |
|---|---|
| Description: | Compounding the problem, a complete computing system may combine hundreds or thousands of software packages whose configuration settings interact unexpectedly. The goal of this project is to automate the creation of valid configurations that are reliable and secure. As the world increasingly depends on smart infrastructure and Internet-of-Things devices to enhance lives, this research will benefit society by improving the reliability and security of the configurable software used in these computing devices. |
| Level: | PhD, Undergrad |
| Advisor: | Paul Gazzillo |
| Lab/Group Name: | APPLeSEEd Lab, Cyber Security and Privacy Cluster |
| Keywords: | configuration, misconfiguration, security, automated reasoning, software engineering |
| Location(s): | UCF Main Campus |
Corporate Entity Tracking Automation (Position Ref No.: oga-wepser-23)
Position Type:
Graduate Research Assistant,
Researcher
| Department: | Computer Science |
|---|---|
| Description: | This project will develop statistical inference and automated reasoning techniques that provide the foundations for automatically analyzing large sets of corporate and individual entity metadata on a large scale. Using real-world datasets drawn from public and proprietary data, we will evaluate our techniques for several applications, e.g., investigating foreign ownership in US industries via shell corporations, and tracking government subcontractor relationships for foreign influence. |
| Level: | PhD, Undergrad |
| Advisor: | Paul Gazzillo |
| Lab/Group Name: | APPLeSEEd Lab, Cyber Security and Privacy Cluster |
| Keywords: | automated reasoning, data analysis, corporate tracking |
| Location(s): | UCF Main Campus |
"Toward Efficient, Adaptive and Robust Deep Learning"(Position Ref No.: oga-947857fffgh-24)
Position Type:
Graduate Research Assistant
| Department: | Computer Science |
|---|---|
| Description: | Students will delve into diverse research areas including deep learning for computer vision, multi-modal learning, foundation models, generative models (AIGC), resource-efficient deep learning for edge computing, federated learning, and medical image computing. We are eager to collaborate with researchers at all levels, whether they are MS, PhD, Undergraduate, Postdoc, or Visiting Faculty. |
| Level: | PhD, MS |
| Advisor: | Chen Chen |
| Lab/Group Name: | CRCV Center |
| Keywords: | adaptive, machine learning, algorithms |
| Location(s): | UCF Main Campus |
Improving Security/Privacy Transparency of Mobile and IoT Systems, and their Supply Chains (Position Ref No.: oga-jfhudh2948-24)
Position Type:
Graduate Research Assistant,
Researcher
| Department: | Civil, Environmental and Construction Engineering |
|---|---|
| Description: | Using static/dynamic app analysis, fuzz testing and data-driven techniques. Ultimately the work can help consumers and developers better understand the security and privacy practices of devices and applications. |
| Level: | Postdoc, Undergrad |
| Advisor: | Xueqiang Wang |
| Lab/Group Name: | CyberSP |
| Keywords: | software supply chain security and privacy automation |
| Location(s): | UCF Main Campus |
Modeling and Optimizing for Human Decision-Making, from Air Transportation to Education (Position Ref No.: oga-932938jfusaeh-24)
Position Type:
Graduate Research Assistant,
Researcher
| Department: | Industrial Engineering and Management Systems |
|---|---|
| Description: | Improving system performance of stochastic dynamic systems using an operations research paradigm. |
| Level: | PhD, MS, Undergrad |
| Advisor: | Adan Vela |
| Lab/Group Name: | Analytics Decision and Control Lab |
| Keywords: | human-in-the-loop control and decision systems |
| Location(s): | UCF Main Campus |
Smart Bioelectronic systems for Multiplexed Monitoring and Combination Treatment of Infected Chronic Wounds (Position Ref No.: oga-932545asrsaeh-24)
Position Type:
Graduate Research Assistant
| Department: | Materials Science and Engineering |
|---|---|
| Description: | My lab research focuses on advanced multifunctional and multimodal biomaterials for human/machine interfaces and regenerative medicine, as well as wearable/implantable technologies for theragnostic applications. Looking for MS/PhD students and postdocs. |
| Level: | Postdoc, PhD, MS |
| Advisor: | Ehsan Shirzaei Sani |
| Keywords: | Wearable and implantable devices for personalized medicine, Tissue engineering and regenerative medicine |
| Location(s): | UCF Main Campus |
Investigation of structural defects in ferroelectrics/semiconductors using TEM (Position Ref No.: oga-389547fjhfs-24)
Position Type:
Graduate Research Assistant
| Department: | Materials Science and Engineering |
|---|---|
| Description: | This position, fully funded by UCF, offers an opportunity to contribute to groundbreaking research in the investigation of structural defects in ferroelectrics and semiconductors using Transmission Electron Microscopy (TEM). Your primary objective will be to utilize 4D-STEM (Four-Dimensional Scanning Transmission Electron Microscopy) techniques to characterize thin films. Your focus will involve investigating the structural and polarization properties of these materials through strain engineering methodologies. Key Responsibilities: Conducting in-depth research utilizing advanced TEM techniques to analyze structural defects in ferroelectric and semiconductor materials. Collecting and analyzing data to draw meaningful conclusions and contribute to the advancement of knowledge in the field. Communicating research findings through publications in peer-reviewed journals and presentations at conferences. Position Details: Duration: 4 years Fully funded position with competitive stipend and benefits package. Qualifications: Master's degree in materials science, physics, or a related field (required) Experience with Transmission Electron Microscopy (TEM) techniques (preferred) Strong background in crystallography, solid-state physics, and materials characterization techniques |
| Level: | Postdoc, PhD, MS |
| Advisor: | Paria Gharavi |
| Lab/Group Name: | Advanced Novel Materials and Electron Microscopy Research Group (Gharavi Lab) |
| Keywords: | |
| Location(s): | UCF Main Campus |
AI-enabled Drug Discovery (Position Ref No.: oga-47854675fjfjsd-24)
Position Type:
Graduate Research Assistant
| Department: | Industrial Engineering and Management Systems |
|---|---|
| Description: | Leverage artificial intelligence (AI) to accelerate drug discovery processes, enhancing efficiency and effectiveness in identifying new therapeutic compounds. |
| Level: | PhD |
| Advisor: | Niloofar Yousefi |
| Lab/Group Name: | Applied Innovative Artificial Intelligence Research (AI-AIR) Lab |
| Keywords: | |
| Location(s): | UCF Main Campus |
Assessing changes in sea level to guide the management, maintenance and operation of storm surge barriers
Position Type:
Graduate Research Assistant
| Department: | Civil, Environmental and Construction Engineering |
|---|---|
| Description: | Coastal flooding is already one of the most dangerous and costly natural hazards that humanity faces globally and yet it will become even more frequent and challenging to manage because of climate change and other factors. In densely populated estuarine settings, a storm surge barrier is often an attractive and economical solution for flood protection. There are currently many storm surge barriers in operation around the world protecting tens of millions of people and trillions of pounds of property and infrastructure. However, with accelerating rates of sea-level rise being observed, along with changes in storminess, tides and river discharge, surge barriers are closing increasingly often, and closures are now occurring in months when they typically have not occurred in the past. Increased use of surge barriers in the future has critical implications for barrier management, maintenance and operation. In this project we will assess the impact of changes in sea level on ten management, maintenance and operation of storm surge barriers. |
| Level: | Postdoc |
| Advisor: | Ivan David Haigh |
| Lab/Group Name: | Coastal Centre |
| Keywords: | |
| Location(s): | UCF Main Campus |
Human Mobility Modeling and Geospatial Intelligence
Position Type:
Graduate Research Assistant,
Researcher
| Department: | Civil, Environmental and Construction Engineering |
|---|---|
| Description: | The project focuses on human mobility modeling and geospatial intelligence through big data science and Generative AI. It aims to simulate who performs what activity, at which location, at what time, and how they travel. By mining and modeling large-scale mobility datasets (e.g., GPS traces, Points of Interest, roadway infrastructure, street imagery, survey data. etc.) from IoT and smart city systems, we will develop AI-driven methods to understand and predict movement patterns. The research will advance intelligent transportation systems, urban analytics, public safety, and real-time decision making. |
| Level: | Postdoc, PhD, MS, Honors, Undergrad |
| Advisor: | Xishun Liao |
| Lab/Group Name: | Knights Digital Twin Initiative |
| Keywords: | Geospatial Intelligence, Human Mobility, Intelligent Vehicles, Simulation, Digital Twin, AI/ML |
| Location(s): | UCF Main Campus |
Nanomaterials for drug delivery (NanoBio Lab)
Position Type:
Graduate Research Assistant,
Researcher
| Department: | Materials Science and Engineering |
|---|---|
| Description: | The NanoBio Lab is centered around understanding and leveraging inherent material-biological interactions to design next-generation nanomaterial drug delivery systems. We know that nanoscale materials take on unique, size-dependent characteristics that differ from their bulk counterparts, however, given the complexity of parameters within the nanoscale (e.g. size, shape), very little is known about how modulating these factors can alter their biological interactions. A common challenge with translation of nanoparticles is the discrepancy between the predicted response and the experimental outcome. Our goal is to rationaly design the next-generation of nanodrug systems for the treatment of cancer and infectious disease. |
| Level: | PhD, MS, Honors |
| Advisor: | Needa Brown |
| Lab/Group Name: | NanoBio Lab |
| Keywords: | nanoparticles, cancer, immunology, biomaterials, nanomaterials |
| Location(s): | Lake Nona (Main Campus) |
Real-time Modeling and Simulation and Passenger Mobility Prediction for Smart Airport Digital Twin
Position Type:
Graduate Research Assistant,
Researcher
| Department: | Modeling and Simulation |
|---|---|
| Description: | The Urban Digital Twin (UDT) Lab seeks a motivated and technically proficient researcher to learn, develop, and implement a distributed agent-based modeling (ABM) framework for smart airport Digital Twin and metaverse applications. This role will focus on applying modeling and simulation methodologies to enhance airport planning, resource optimization, and digital transformation through intelligent, distributed agents. The researcher will explore both theoretical and empirical approaches to application of Geospatial AI, IoT sensor networks and real-time data processing for simulation validation and accuracy assessment, while also supporting the classification and evaluation of current ABM models. A critical component of the research involves designing and implementing intelligent agent architectures, including mechanisms for agent allocation, communication, and orchestration within a smart airport ecosystem. Proficiency in Python, SimPy, GAMA, and other GIS-based ABM tools are favorable. |
| Level: | PhD, MS, Undergrad |
| Advisor: | Soheil Sabri |
| Lab/Group Name: | The Urban Digital Twin (UDT) Lab |
| Keywords: | Urban Digital Twin, Human-Infrastructure Interaction Analysis, Geospatial AI, Generative AI |
| Location(s): | UCF Main Campus |
Geospatial AI and Generative AI for Urban Digital Twins: Human Pose and Estimation and Image / Recording Segmentation
Position Type:
Graduate Research Assistant,
Researcher
| Department: | Modeling and Simulation |
|---|---|
| Description: | The Urban Digital Twin (UDT) Lab seeks a motivated and technically proficient researcher to learn, develop, and implement a computational framework that integrates pedestrian pose estimation and semantic scene understanding to identify built environment deficiencies. The researcher should have a background in computer vision and willing to learn spatial data analysis, and mathematical modeling, with the ability to operationalize Geospatial AI and Generative techniques into actionable urban intelligence. The student will work with AV-mounted video data, incorporating GPS coordinates, orientation data, and camera calibration matrices. Apply deep learning-based pose estimation models (e.g., OpenPose, Detectron2) to extract pedestrian keypoints and track pedestrians across frames to build spatiotemporal trajectories. Students should have a strong foundation in linear algebra, statistics, and optimization. Proficiency in Python, OpenCV, PyTorch/TensorFlow, and GIS tools are favorable. Experience with pose estimation, segmentation models, and 3D transformations are also highly recommended. |
| Level: | PhD, MS, Undergrad |
| Advisor: | Soheil Sabri |
| Lab/Group Name: | The Urban Digital Twin (UDT) Lab |
| Keywords: | Urban Digital Twin, Human-Infrastructure Interaction Analysis, Geospatial AI, Generative AI |
| Location(s): | UCF Main Campus |
Large Language Models with Multimodal Learning (2 Positions) (Position Ref No.: oga-19duahe73aueyr-24)
Position Type:
Graduate Research Assistant
| Department: | Modeling and Simulation |
|---|---|
| Description: | This position offers a unique opportunity to work on advanced projects at the intersection of AI, machine learning, computer vision, and multimodal learning, focusing on building applications with state-of-the-art Large Language Models (LLMs) and Generative AI capable of processing and generating text, audio, video, and images. As a PhD student in our lab, you will engage in pioneering research that pushes the boundaries of AI capabilities, particularly in the domain of multimodal learning. Preferred Qualifications: Expertise in Deep Learning and LLMs: Knowledge and experience in building applications and fine-tuning models like Llama 3, Gemma, Mistral AI, and other transformer architectures. Multimodal Learning Experience: Demonstrated experience in integrating and processing multiple data modalities for training AI models. Programming Proficiency: Strong programming skills in Python, with hands-on experience in deep learning frameworks such as TensorFlow, PyTorch, and related libraries. AWS Cloud Expertise: Proficiency in AWS services like EC2, S3, Lambda, and SageMaker for model building, fine-tuning, optimization, and deployment, with experience in managing large datasets and ensuring scalability in a cloud environment. Research Excellence: Proven track record of publications in high-impact journals and conferences. Collaborative Mindset: Ability to work effectively in a multidisciplinary team, with strong communication and leadership skills. |
| Level: | PhD, MS |
| Advisor: | Dr. Veeraraghava Raju Hasti |
| Lab/Group Name: | Hasti Research Lab |
| Keywords: | |
| Location(s): | UCF Main Campus, UCF Research Park |
OPS URA or GRA ECE (Position Ref No.: oga-mfbhdhdhdw-23)
Position Type:
Graduate Research Assistant
| Department: | Electrical and Computer Engineering |
|---|---|
| Description: | Design and assemble protection enclosure and mechanical frames for the medium-voltage power equipment, Design and assemble electrodes and chambers for insulation property testing setup. |
| Level: | PhD, MS |
| Advisor: | Dr. Qichen Yang |
| Keywords: | mechanical structure design, medium voltage |
| Location(s): | UCF Main Campus |
Research into Quantum Devices and Associated Light Sources (Position Ref No.: oga-mqoaiseqw-23)
Position Type:
Graduate Research Assistant
| Department: | Electrical and Computer Engineering |
|---|---|
| Description: | Q-Lab has multiple graduate research positions on Quantum Devices. The project will focus on investigating the quantum light sources based on novel color centers in silicon for applications in most scalable quantum networks and photonic quantum information processing. We seek candidates with electrical engineering, physics, and material science backgrounds. Candidates with hands-on experience with optical experiments such as time-resolved spectroscopy, confocal spectroscopy/microscopy, ultrafast laser, single-photon detectors, etc., will be given high priority |
| Level: | PhD, MS |
| Advisor: | Wayesh Qarony |
| Lab/Group Name: | Q-Lab |
| Keywords: | |
| Location(s): | UCF Main Campus |
Topological Graph Machine Learning (Position Ref No.: oga-mwoiakspeqw-23)
Position Type:
Graduate Research Assistant,
Researcher
| Department: | Computer Science |
|---|---|
| Description: | Explains how topological data analysis (TDA) is an emerging field for data scientists at the interface of algebraic topology, statistics and computer science. TDA recovers underlying topology lost from sampling. His research focuses on adapting TDA algorithms to work on networks and overcoming the scalability issues that arise in large networks. |
| Level: | PhD, MS |
| Advisor: | Cuneyt Akcora |
| Keywords: | |
| Location(s): | UCF Main Campus |
Gyrator-Capacitor (G-C) Approach to Modeling Electromagnetic Control Devices (Position Ref No.: oga-mlxneqw-23)
Position Type:
Graduate Research Assistant,
Researcher
| Department: | Electrical and Computer Engineering |
|---|---|
| Description: | Using G-C modeling to understand the interaction between the power system and elecromagnetic control devices. The G-C approach maintains the power invariance and creates a direct link between the magnetic and the electric domains for an integrated analysis |
| Level: | PhD, MS |
| Advisor: | Aleksandar Dimitrovski |
| Keywords: | |
| Location(s): | UCF Main Campus |
Biomimetic Sensors and Applications (Position Ref No.: oga-mpapeqw-23)
Position Type:
Graduate Research Assistant,
Researcher
| Department: | Civil, Environmental and Construction Engineering |
|---|---|
| Description: | Research to advance implantable and wearable devices, which must be biologically and mechanically compatible with host environments to overcome foreign body reactions. Dr. Shen introduces natural materials-based devices for neural interfacing and transcutaneous sensing. |
| Level: | PhD, MS |
| Advisor: | Wen Shen |
| Lab/Group Name: | NanoScience Technology Center |
| Keywords: | |
| Location(s): | UCF Main Campus |
Hybrid Mico/Nanofabrication: Accelerating Biomedical Research (Position Ref No.: oga-iaudhadhw-23)
Position Type:
Graduate Research Assistant
| Department: | Materials Science and Engineering |
|---|---|
| Description: | How micro and nano-scale technologies in life sciences, medicine and associated areas bring forth powerful collaborations among scientists, engineers and medical professionals. |
| Level: | PhD, MS |
| Advisor: | Swami Rajaraman |
| Lab/Group Name: | NanoBioSensors & Systems Laboratory |
| Keywords: | nanotech, medical, tech, |
| Location(s): | UCF Main Campus |
Experimental and Theoretical Approaches for Development of Energy Storage Materials (Position Ref No.: oga-uyahdaeqw-23)
Position Type:
Graduate Research Assistant
| Department: | Materials Science and Engineering |
|---|---|
| Description: | Work at the atomic and nanoscales using in-situ transmission microscopy (TEM) and atomistic modeling and its use in all-solid-state lithium batteries, and computer simulations that aid in understanding battery reactions for developing new electrode design with improved performance. |
| Level: | PhD, MS |
| Advisor: | Akihiro Kushima |
| Lab/Group Name: | AMPAC |
| Keywords: | Energy Storage, Materials, nanotech |
| Location(s): | UCF Main Campus |
Truck Diversion Using Real-Time Traffic Data (Position Ref No.: oga-mqoaufhaw-23)
Position Type:
Graduate Research Assistant,
Researcher
| Department: | Civil, Environmental and Construction Engineering |
|---|---|
| Description: | Research to improve the efficiency of transportation networks using emerging lidar and camera technology for commercial vehicles. Includes a current FDOT project for detecting accidents in real-time using GIS technologies to route trucks around accident locations. |
| Level: | PhD, MS |
| Advisor: | Amr A. Oloufa |
| Keywords: | Civil, Construction, Transportation, FDOT |
| Location(s): | UCF Main Campus |
UAV Sensing System for Municipal Solid Waste Landfill Monitoring and Water Ponding Issue Detection (Position Ref No.: oga-mdgddrwa-23)
Position Type:
Graduate Research Assistant
| Department: | Civil, Environmental and Construction Engineering |
|---|---|
| Description: | Advanced data collection and analysis methods to reduce labor-intensive surveillance. Reach out for more information. |
| Level: | PhD, MS |
| Advisor: | Patrick Sun |
| Lab/Group Name: | RISE Lab |
| Keywords: | Civil, Environmental |
| Location(s): | UCF Main Campus |
Microelectronics Supply Chain Security: Building Secure Hardware by Construction (Position Ref No.: oga-92837341-24)
Position Type:
Graduate Research Assistant
| Department: | Electrical and Computer Engineering |
|---|---|
| Description: | Covers IP protection techniques in hardware designs for better sustainability; secure hardware generation by electronic design automation tools; protection and secure authorization in diverse post-CHIPS technologies; and use of emerging AI models, particularly large-language models, for security and verification automation. |
| Level: | PhD, MS |
| Advisor: | Hadi Mardani Kamali |
| Lab/Group Name: | Hardware Assurance and Verification Engineering (HAVEN) |
| Keywords: | |
| Location(s): | UCF Main Campus |
Ensuring Robustness in Machine Learning by Combating the Real-World Data Uncertainties (Position Ref No.: oga-o30384f4se-24)
Position Type:
Graduate Research Assistant
| Department: | Electrical and Computer Engineering |
|---|---|
| Description: | Research to advance robust machine learning using powerful statistical and signal processing tools to address the uncertainty challenges present in the data while training machine learning systems. |
| Level: | Postdoc, PhD, MS |
| Advisor: | Shahana Ibrahim |
| Keywords: | |
| Location(s): | UCF Main Campus |
Current Computer Vision Research (Position Ref No.: oga-irufn2393-23)
Position Type:
Graduate Research Assistant
| Department: | Computer Science |
|---|---|
| Description: | Computer vision uses complex algorithms and artificial intelligence to perform automatic analysis of images and videos. |
| Level: | Postdoc, PhD, MS |
| Advisor: | Mubarak Shah |
| Lab/Group Name: | CRCV Center |
| Keywords: | human activity recognition, cross-view geo-localization, grounded visual question answering, machine vision disruption, multi-object tracking |
| Location(s): | UCF Main Campus |
A Journey Across Nanostructured Rare-Earth Oxide (Position Ref No.: oga-1827fhsyaw-23)
Position Type:
Graduate Research Assistant,
Researcher
| Department: | Materials Science and Engineering |
|---|---|
| Description: | Focusing on cerium oxide nanoparticles to combat harmful reactive oxygen and nitrogen species responsible for cellular dysfunctions. Explain how redox kinetics of regenerative ceria nanoparticles can be controlled with the type of medium, and their implications in nano-biomedicine. |
| Level: | Postdoc, Undergrad |
| Advisor: | Sudipta Seal |
| Keywords: | nanoscale transition metal, rare earth oxide ceramics, catalysis, nano-biomedicine |
| Location(s): | UCF Main Campus |
Research Cloud Computing (Position Ref No.: oga-0192jdvif-23)
Position Type:
Graduate Research Assistant,
Researcher
| Department: | Computer Science |
|---|---|
| Description: | Assist researchers and IT staff in implementing and managing cloud computing solutions for research. Experience with AWS, GCP, and Azure is a plus but not required. |
| Level: | MS, Undergrad |
| Keywords: | Support researchers in utilizing cloud computing services for their research projects. Collaborate on cloud architecture design and implementation. Assist with data management and security in cloud environments. Monitor cloud resources and troubleshoot basic issues. Assist in documenting cloud configurations and processes. |
| Location(s): | UCF Main Campus |