Postdoctoral Position In Solid-state Chemistry and Machine Learning For Materials Science

Edmonton, Canada | University of Alberta

  • Industry:
    Education (Higher)
  • Position Type:
    Full-Time
  • Functions:
    Biotech/R&D/Science
  • Experience:
Job Description:
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Department of Chemistry, Laboratory of Prof. Arthur Mar


One or more postdoctoral positions are available immediately to support the research of Prof. Arthur Mar (PI, Department of Chemistry, University of Alberta) within the Future Energy Systems (FES) program funded by the Canada First Research Excellence Fund (CFREF). The positions are available for one to two years with possibility for renewal.


Responsibilities include


Design and implement projects related to the accelerated discovery and development of new materials using high-throughput machine-learning methods, in consultation with the PI and other research collaborators; liaise with collaborators to identify common objectives and implement research protocols


Collect reliable data, develop chemical descriptors, and apply appropriate algorithms to make predictions of new materials with targeted structures and properties (including improved photovoltaics and catalysts)


Synthesize inorganic solids; determine crystal structure of inorganic solids through X-ray diffraction; measure electrical, magnetic, and optical properties; perform calculations of electronic band structures


Assist in oversight of research projects of graduate and undergraduate students, and other personnel to achieve targeted research objectives within timelines, in consultation with the PI


Manage day-to-day operation of research laboratory, including maintaining equipment and supplies, overseeing troubleshooting of problems, and ensuring adherence to safety protocols


Analyze, interpret, and report research results; assist in preparation of publications and grant applications; present results in meetings, seminars, and conferences


The candidate possesses


Ph.D. degree in Chemistry or related fields in Materials Science, Physics, or Engineering


Experience in solid state chemistry of extended inorganic solids, including synthesis and characterization


Familiarity with machine-learning techniques, including computing and programming skills


Strong publication and presentation track record in solid state chemistry and machine learning


Experience in mentoring and training students as part of a research team


Ability to work independently and within a team, including demonstrated leadership qualities and interaction with collaborators


Excellent verbal and written communication skills, with ability to present to a wide range of audiences