Job description

• Background of the recruitment and description of the project

  The International Institute for Carbon-Neutral Energy Research (I2CNER) is a member Center of the “WPI Academy”
  founded by MEXT’s Research Promotion Bureau. I2CNER’s mission is to contribute to the creation of a sustainable
  and environmentally friendly society by conducting fundamental research for the advancement of low carbon
  emission and cost-effective energy systems, and improvement of energy efficiency. Please refer to the link below column for more detailed information regarding I2CNER.
  
  In November 2022, I2CNER is launching the “Center for Energy Systems Design," referred to as “the Center”, under
  the “Carbon Neutral Energy Alliance” in collaboration with six research institutes* to conduct research that
  contributes to the realization of carbon neutrality. The Center consists of six research teams: "Photo Conversion",
  "Electric Conversion", "Materials Conversion", "Materials/Transport", "Data Science", and "Energy Analysis". The
  Center’s goal is "energy system design, high-speed conversion of energy, and materials conversion through using
  data science" toward the realization of carbon neutrality. Please refer to the following link for more detailed information regarding CESD.
  
  *Six collaborative institutes:
  Hokkaido University, Institute for Catalysis (ICAT)
  Tohoku University, Advanced Institute for Materials Research (AIMR)
  Tokyo Institute of Technology, Tokyo Tech Academy of Energy and Informatics (ISE)
  Kumamoto University, Institute of Industrial Nanomaterials (IINa)
  RIKEN Center for Sustainable Resource Science (CSRS)
  National Institute for Materials Science (NIMS), Research and Services Division of Materials Data and Integrated
  System (MaDIS)
  

• Work content and job description

  CESD/I2CNER is currently recruiting a postdoctoral research associate with a keen interest in data science, specifically harnessing the power of artificial intelligence (AI) in chemistry and materials science. We are looking for candidates with a background in materials science, chemistry, physics, or related fields who are interested in applying machine learning or deep learning to their research. Alternatively, we welcome candidates from computer science or related fields who are eager to address challenges in chemistry and materials science.
  
  We are open to a wide range of research areas, including, but not limited to:
  
  (1) Exploration of chemical space using generative AI.
  (2) Prediction of properties of undiscovered chemical structures.
  (3) Generation and analysis of materials microstructure images (SEM, TEM, etc.).
  (4) Applying Bayesian optimization and machine learning to guide laboratory experiments.
  (5) Automated extraction of chemicals/materials data from digital sources.
  
  Talented young researchers, including those currently completing their Ph.D., are encouraged to apply. The selected researcher will work closely with Assistant Professor Adroit T.N. Fajar in the CESD data science team and will have the opportunity to participate in CESD's collaborations with six leading research institutes across Japan. Furthermore, I2CNER offers a robust platform for international collaborations worldwide. We invite qualified candidates who thrive in interdisciplinary settings and can quickly adapt to the rapid advancements in AI within science and technology.
  

• Assigned department

  Existing departments

  International Institute for Carbon-Neutral Energy Research (I2CNER)