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 |
Nanostructured Materials Development for Energy Devices and Catalysis (Position Ref No.: oga-foiwehus-23)
Position Type:
Graduate Research Assistant
| Department: | Materials Science and Engineering |
|---|---|
| Description: | Next-generation nanotechnology development and emerging materials discovery for renewable energy devices such as non-flammable batteries, fuel cells for heavy-duty applications, and electrolyzers for clean fuels production (H2 from waste or sea water; ethanol from CO2). We are looking for self-motivated students, postdocs, and visiting faculty/students who have interests in energy storage and conversion. |
| Level: | PhD |
| Advisor: | Yang Yang |
| Lab/Group Name: | Advanced Materials & Renewable Energy Group |
| Keywords: | Nanotechnology, Advanced Materials, Renewable Energy, Devices, Clean Energy |
| Location(s): | UCF Main Campus, UCF Research Park |
Atomic Layer Deposition of transparent conducting oxides (Position Ref No.: oga-teoidwr-23)
Position Type:
Researcher
| Department: | Materials Science and Engineering |
|---|---|
| Description: | The graduate student will work on atomic layer deposition of new transparent conducting oxides for application in solar cells and advanced optoelectronic devices. |
| Level: | Postdoc, PhD, MS, Undergrad |
| Advisor: | Parag Banerjee |
| Lab/Group Name: | Banerjee Lab |
| Keywords: | Atomic layer deposition (ALD), nanomaterials, thin films, semiconductor processing |
| Location(s): | UCF Main Campus |
Bio-inspired materials design for 3D printing (Position Ref No.: oga-vbkwoei-23)
Position Type:
Researcher
| Department: | Mechanical and Aerospace Engineering |
|---|---|
| Description: | The PhD or MS student will explore biological principles in nature that can inspire design of new lightweight and strong materials with tunable mechanical properties. The student will have the opportunity to participate in designing and fabricating lightweight materials using 3D printing techniques. |
| Level: | PhD, MS |
| Advisor: | Dazhong Wu |
| Lab/Group Name: | Additive Manufacturing & Intelligent Systems Laboratory |
| Keywords: | Bio-inspired design, 3D printing, material characterization |
| Location(s): | UCF Main Campus, Lake Nona (Main Campus), UCF Research Park, Other |