William R. Wiley Postdoctoral Fellow
Closing Date
Pacific Northwest National Laboratory (PNNL) and the Environmental Molecular Sciences Laboratory (EMSL) are seeking applications for the William R. Wiley Postdoctoral Fellowship. The fellowship focuses on data science with expertise in artificial intelligence and machine learning (AI/ML). The candidate should have a strong foundational background in applied mathematics, data science, or AI/ML, and demonstrate experience applying their skills to unravel stories contained in multimodal chemical imaging data towards understanding biogeochemical, microbial and environmental processes.
The Wiley Fellow will be embedded at EMSL and perform collaborative research with external researchers and with PNNL and EMSL scientists. Research activities will include development and deployment of analysis pipelines, new algorithmic approaches, and machine learning methods enabling analysis of multimodal chemical imaging data, with an end goal of improving our ability to understand fundamental mechanisms governing the stabilization of organic carbon in soils. This position will provide opportunities to work and collaborate with a diverse team of soil and geochemists, microbiologists, rhizosphere scientists, and other domain experts to translate research objectives into data-driven solutions.
Minimum Qualifications:
- Candidates must have received a PhD within the past five years (60 months) or within the next 8 months from an accredited college or university.
Preferred Qualifications:
- PhD with image data-related research experience.
- PhD in Chemistry, Biochemistry, Biology, Mineralogy, Environmental Engineering, Applied Mathematics, Machine learning, Data Science or a related field.
- Documented experience with Python and associated tools in data science and AI/ML, such as PyTorch, JAX, or TensorFlow.
- Ability to adapt, refine, or innovate experimental or computational tools based on project needs.
- Proven ability to plan and execute research tasks and take initiative in the completion of tasks important to the projects. These include preparation of first drafts of papers for peer-reviewed journals, and technical presentations at scientific conferences.
- Ability to work in collaboration with a multi-disciplinary group of scientists and technical staff, ability to communicate effectively with experimentalist and computational modeling colleagues.
- Strong verbal and written communications skills.
- Experience in chemical imaging and related software tools, soil mineralogy, chemistry, microbiology or soil physics, x-ray spectroscopies, x-ray diffraction/scattering, x-ray computed tomography, energy dispersive spectroscopy, hyperspectral imaging, mass spectroscopy imaging.
- Experience with any of these software tools is a plus: ImageJ/Fiji, Avizo, VG Studio, Dragonfly, Aztec.
Minimum Salary: $69,000.00/Yr.
Maximum Salary: $119,100.00/Yr.