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Dr. Sijia Dong research group at the Department of Chemistry and Chemical Biology at Northeastern University in Boston, MA, USA ³ÏƸÀíÂÛ¼°¼ÆË㻯ѧ²©Ê¿ºó¡£ÀíÏëÇé¿ö2021ÄêÉÏ°ëÄ꿪ʼ£¬µ«Ï°ëÄ꿪ʼҲ¿ÉÒÔ¿¼ÂÇ¡£
The research focus will be on developing and applying first-principles-based and data-driven computational methods to understand complex chemical and multiscale processes in molecules and materials for renewable energy, biomedicine, and other areas of societal importance. Specific projects may involve developing multiscale simulation methods that bridge a range of temporal and spatial scales, developing novel ways to combine quantum chemical methods and machine learning, and applying existing and new computational methods to study multiscale processes in catalysis and photochemistry. Other projects that align with our general interest are also possible. Please see https://sijiadong.com/ for further details.
The candidate should have strong problem-solving skills and be highly motivated. Programming skills (Python or Fortran preferred, but not required) are desired. Experiences with catalysis (biological, homogeneous, or heterogeneous), excited-state simulation methods (e.g., multiconfigurational methods, TDDFT), multiscale simulations (broadly defined), molecular dynamics simulations, sampling techniques, or machine learning are big pluses.
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If you are interested, please send Dr. Sijia Dong an email at s.dong (AT) northeastern.edu with your full CV and a cover letter. The cover letter should contain information about your research interests, past research experiences, career goals, and why this lab might be a good fit for you. The CV should contain your publication list, Ph.D. completion date, and the names and contact information for three references who might be contacted for recommendations. Review of applications will begin immediately.
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