The Department of Mechanical, Materials and Aerospace Engineering in the Benjamin M. Statler College of Engineering and Mineral Resources at West Virginia University Research Corporation is currently accepting applications for a Machine Learning Engineer.

KNOWLEDGE, SKILLS, AND ABILITIES

• Proficiency in Python and working knowledge of Machine Learning and Deep Learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).

PREFERRED QUALIFICATIONS

• A PhD is preferred.
• Background and experience in Space Weather Modeling and Forecasting.
  Requirements

Qualifications

• An advanced degree in Aerospace Engineering or a related field from an accredited university.
• A minimum of two (2) years of experience in data analysis and machine learning.
• Any equivalent combination of related education and/or experience will be considered.
• All qualifications must be met by the time of employment

• Undertake research in the relevant areas towards achieving the research project milestones and schedule in collaboration with team members across organizations, to also include early-career researchers, research associates, postdocs, graduate research assistants, and undergraduates.
• Identify and assist with the acquisition of funding from public, private, and governmental sources.
• Search scientific literature to select and modify methods and procedures most appropriate for related research goals.
• Write and present research/study status reports for projects and manage regular status updates with the customer in coordination with the program managers.
• Prepare the results of research for publication in relevant conferences and journals.
• Where appropriate, involve and mentor graduate students in research related activities.

Qualifications

• An advanced degree in Aerospace Engineering or a related field from an accredited university.
• A minimum of two (2) years of experience in data analysis and machine learning.
• Any equivalent combination of related education and/or experience will be considered.
• All qualifications must be met by the time of employment.