Postdoctoral Researcher (Machine Learning)
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Job Location:
Prairie View, TX - USA
Monthly Salary:
Not Disclosed
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Title
Postdoctoral Researcher (Machine Learning)Agency
Prairie View A&M UniversityDepartment
Department Of Computer ScienceProposed Minimum Salary
CommensurateJob Location
Prairie View TexasJob Type
StaffJob Description
We invite applications for a highly motivated Postdoctoral Researcher to join our interdisciplinary research team advancing machine learning applications in hyperspectral image analysis and plant science. This position focuses on developing implementing and optimizing advanced machine learning and deep learning models that integrate spatial and spectral information to improve photosynthetic pigment identification in data obtained from Hyperspectral Confocal Fluorescence Microscopy (HCFM).
The successful candidate will contribute across the full machine learning research aspects including but not limited to data engineering data preprocessing model design algorithm development benchmarking and scientific communication. The position includes opportunities for leadership mentoring and project coordination including supervision of students participation in proposal development and contributions to intellectual property and patent applications.
This position is funded by restricted funds or a grant. Continued employment is contingent upon the renewal of restricted or grant funds.
The salary is determined in accordance with the Universitys compensation structure and will be commensurate with the candidates education and experience within the assigned salary range for this position.
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.
Required Education and Experience:
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.
Required Knowledge Skills and Abilities:
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 Qualifications:
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.
Job Posting Close Date:
Until Filled
Required Attachments:
Please attach all required documents listed belowin the attachment box labeled as either Resume/CV or Resume/Cover Letter on the application. Multiple attachments may be included in the Resume/CV or Resume/Cover Letter attachment box. Anyadditionalattachments provided outside of the required documents listed below are considered optional.
Resume or Curriculum Vitae
Cover Letter
Application Submission Guidelines:
All applicantsare required toapply via our Career Site on or before the closing dateindicatedon the job posting. Applicant inquiries received via email and websites such as IndeedHigherEdJobs etc. will not be considered unless the individual has applied to the available position viathePVAMUCareersite.
The required documents listed in the above Required Attachments section must be attached to the application prior to the job closing dateindicatedto ensure full consideration for the applicationsubmitted. Please contact the Office of Human Resource on or before the closing dateindicatedabove at or should you needassistancewith the online application process.
Background Check Requirements:
All positions are security-sensitive. Applicants are subject to a criminal history investigation and employment is contingent upon the institutions verification of credentials and/or other information required by the institutions procedures including the completion of the criminal history check.
Equal Opportunity/Veterans/Disability Employer.
Required Experience:
IC
Key Skills
- Intelligence Community Experience
- Python
- Spss
- Microsoft Word
- R
- Regression Analysis
- Windows
- Stata
- Microsoft Powerpoint
- Research Experience
- Data Modeling
- Writing Skills
About Company
Academic Programs Prairie View A&M University is the second-oldest public institution of higher education in the state of Texas. Empowered by a shared sense of history and experience, we have built an unparalleled reputation for empowering scholars to carry our rich legacy of distinct ... View more
