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Texas A&M University

Postdoctoral Research Associate in Real-Time fMRI Neuromodulation and Neuroengineering Texas A&M University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

The position is a full-time staff postdoctoral appointment with salary commensurate with qualifications. Employee benefits include medical, prescription, dental, vision, life and AD&D, flexible spending accounts, long-term disability insurance, paid holidays, sick leave, vacation, retirement-system enrollment, wellness programs, professional-development resources, and possible educational release time and tuition assistance. No specific stipend or tuition funding is stated.

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Country

United States

University

Texas A&M University

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Keywords

Computer Science
Biomedical Engineering
Electrical Engineering
Medical Imaging
Software Engineering
Neuropsychology
Real-time Systems
Medical Science
Neurorehabilitation
Neuroengineering
ML

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About this position

Texas A&M University is recruiting a full-time Postdoctoral Research Associate for the Papageorgiou Laboratory in the School of Engineering Medicine (EnMed) in Houston, Texas. The laboratory develops individualized, AI-guided, real-time fMRI neuromodulation technologies for precision neurorehabilitation.

The postdoctoral researcher will advance a closed-loop iNM platform designed to restore sensorimotor and cognitive function in people affected by cancer treatment, neurological injury, and neurodegenerative disease. Responsibilities include real-time fMRI data acquisition and preprocessing, signal extraction and filtering, machine learning, dimensionality reduction, classification, state-space and hidden Markov modeling, network-level analysis, visualization, logging, and closed-loop output generation.

The role also involves software-interface development, participant-facing graphical interfaces, hardware-software integration, synchronization, latency and queue management, diagnostic systems, regression testing, and performance monitoring. The researcher will support MRI scanning sessions with human participants and collaborate with clinicians, neuroscientists, engineers, imaging scientists, and computational researchers. Contributions to manuscripts, presentations, documentation, grant-related research, and student mentoring may be expected.

Applicants must hold a Ph.D. or equivalent doctorate in electrical engineering, computer engineering, biomedical engineering, computer science, medical physics, or a closely related quantitative discipline. Strong programming skills in Python, MATLAB, C/C++, or related languages are required, along with software engineering, Linux/Unix, real-time systems, quantitative analysis, and troubleshooting expertise. CITI human-subjects research and MRI safety training must be completed within 30 days of hire. Salary is commensurate with qualifications, with comprehensive employee benefits. Applications are submitted through the Texas A&M Workday portal.

Funding details

The position is a full-time staff postdoctoral appointment with salary commensurate with qualifications. Employee benefits include medical, prescription, dental, vision, life and AD&D, flexible spending accounts, long-term disability insurance, paid holidays, sick leave, vacation, retirement-system enrollment, wellness programs, professional-development resources, and possible educational release time and tuition assistance. No specific stipend or tuition funding is stated.

What's required

A Ph.D. or equivalent doctoral degree in Electrical Engineering, Computer Engineering, Biomedical Engineering, Computer Science, Medical Physics, or a closely related quantitative discipline is required. Completion of human-subjects research (CITI) and MRI safety training is required within 30 days of hire. Preferred qualifications include three years of experience with real-time systems, hardware-software interfaces, or MRI/fMRI acquisition or analysis; doctoral or equivalent advanced training involving computational or engineering systems; scientific programming and quantitative data analysis demonstrated through first-author publications or equivalent work; and knowledge of MRI neurofeedback, brain-computer interfaces, closed-loop biomedical systems, neuroimaging software, real-time data export, asynchronous and multithreaded architectures, signal processing, network or inter-process communication, hardware triggering, GPU or parallel computing, machine learning, functional connectivity, network analysis, and software for human fMRI experiments. Applicants should have advanced programming skills in Python, MATLAB, C/C++, or related languages; software engineering, debugging, testing, version control, documentation, configuration management, and reproducibility skills; knowledge of Linux/Unix and shell scripting, real-time systems, data privacy, and secure handling of human-subject data; strong quantitative reasoning and troubleshooting ability; and the capacity to work independently and collaboratively in multidisciplinary teams.

How to apply

Apply through the Texas A&M University System Workday job posting. Enter all required application data or attach a complete resume; applicants may also use a LinkedIn profile to pre-populate the application. Applications are subject to credential verification and a criminal history investigation.

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