Texas A&M University · 3 weeks ago
Postdoctoral Researcher (Machine Learning)
Prairie View, TX
Full-time
Onsite
Mid, Senior Level
1+ years expTexas A&M University is inviting applications for a Postdoctoral Researcher to join their interdisciplinary research team. The role focuses on advancing machine learning applications in hyperspectral image analysis and plant science, involving the development and optimization of advanced machine learning models.
Higher Education
Responsibilities
Develop, test, and optimize machine learning and deep learning models for hyperspectral plant imaging, including CNNs, UNets, ResNets, DenseNets, Vision Transformers, Autoencoders and Variational Autoencoders, Generative Adversarial Networks, and Graph Neural Networks
Improve traditional spectral only analysis methods used in Multivariate Curve Resolution (MCR) by applying approaches that use both spatial and spectral information
Process, clean, and curate hyperspectral data collected with HCFM microscopes, and develop reproducible data processing and workflow tools
Explore alternative algorithms and data driven approaches to enhance pigment localization and pigment classification accuracy
Maintain clear documentation of model architecture, workflows, code, experiments, and results
Provide leadership within the research group by taking ownership of project components and mentoring junior researchers
Supervise undergraduate and graduate students in machine learning concepts, data analysis, experimental planning, and scientific writing
Train new group members on computational tools, machine learning best practices, and research methodologies
Assist the principal investigator with the preparation and submission of manuscripts, patent applications, and research proposals
Present research outcomes at internal meetings, seminars, conferences, and collaborative review sessions
Participate in departmental or college-wide events, committees, and performs other duties as assigned
Qualification
Required
Ph.D. degree in Computer Science, Electrical or Computer Engineering, Data Science, Computational Biology, Applied Mathematics, or a related discipline
At least one year of experience applying machine learning or data driven methods in research settings
Strong programming skills in Python and experience with machine learning libraries such as PyTorch, TensorFlow, scikit learn, and Keras
Knowledge of machine learning, deep learning, data analytics, and model evaluation
Experience with data processing pipelines, statistical analysis, and data visualization tools including matplotlib, seaborn, and Plotly
Strong written and verbal communication abilities and the ability to collaborate with multidisciplinary teams
A record of contributing to peer reviewed publications
Preferred
Two or more years of experience applying machine learning to scientific imaging or engineering data
Familiarity with image processing or hyperspectral imaging, preferably using HCFM or similar systems
Background knowledge in plant physiology, photosynthesis, or pigment biochemistry
Experience with high performance computing, Linux environments, and version control systems such as Git
Prior experience mentoring or supervising students
Experience contributing to successful research funding proposals
Company
Texas A&M University
Texas A&M University has a proud history that stretches back to 1876 when The Agricultural and Mechanical College of Texas became the first public institution of higher learning in the state of Texas.
10001+ employees
H1B Sponsorship
Texas A&M University has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (322)
2024 (292)
2023 (214)
2022 (207)
2021 (109)
2020 (141)
Funding
Current Stage
Late StageLeadership Team
Jen Sommers, M.Ed.
Spectrum Living Learning Community Co-Founder
Greg Hartman
Chief Operating Officer and Senior Vice President for Strategic Partnerships, Texas A&M University,
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