Assistant Professor Computational Chemistry/Materials with Machine Learning
Location: Bandar Seri Begawan - Brunei Salary: Not specified
Hours: Full Time Contract Type: Permanent Placed on: 16th January 2023 Closes:
Centre for Advanced Material and Energy Sciences is seeking a highly qualified person in Computational Chemistry / Materials with Machine Learning to join our team, who will be able to:
to conduct research in computational chemistry / materials (DFT) and application of Machine Learning for materials discovery and chemical reaction simulation;
to teach courses (in areas of computational chemistry / materials and Machine Learning in material science) in programmes offered by the Institute, and modules offered by other Faculties, Institutes and Centres (FICs) in Universiti Brunei Darussalam;
to develop frameworks and infrastructure for research;
to develop human capacity in research through mentoring and graduate student supervision;
to secure research grants (local and international) for the development of research;
to contribute to the research and publication activities through high impact publications, engagement in the Institute including research seminars and strengthening the Institute’s research clusters;
to collaborate with academics and professionals within and outside UBD to make a global impact through excellence in research and innovation; and
active participation in the activities of the Institute.
Academic and Professional Qualifications required:
PhD in Chemistry / Material Science / Physics or a related field (with a specialisation in computational chemistry / materials and Machine Learning) from a recognised university.
Demonstrates an outstanding record of research productivity and teaching excellence in the field of leadership, innovation, and Islam, including case studies;
Applicants’ experience in research leadership including Principal Investigator of research project, research grant application and graduate students supervision would be an added advantage;
Preference will be given to those who have Research Fellow or Postdoctoral experience in the research field.