Postdoctoral Research Associate

Northeastern University; Boston (MA); On-site; USD 59,000 - 84,000; Full time

Job summary

Northeastern University's Data-Driven Renewables Research group seeks a Postdoctoral Research Associate to start in Summer 2025. The role involves using cutting-edge computational methods to uncover new materials for renewable energy applications, requiring strong expertise in high-performance computing and a Ph.D. in a related field.

Benefits

Medical, vision, and dental coverage

Tuition assistance

Paid time off

Qualifications

• Strong background in density functional theory and high-performance computing.
• Experience with renewable energy, surface science, and catalysis.
• Excellent publication track record.

Responsibilities

• Conduct high-throughput quantum chemistry calculations.
• Discover novel materials for renewable energy applications.
• Collaborate within academia and industry.

Skills

Ab-initio calculations

Programming in Python

Machine learning

Education

Ph.D. in Materials Science, Physics, Chemical Engineering

Job description

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Job Summary

The Data-Driven Renewables Research (D2R2) group led by Dr. Peter Schindler is accepting applications for a postdoctoral research associate in the field of computational materials discovery starting in Summer 2025 . Our group is seeking to discover novel materials for renewable energy applications using high-throughput quantum chemistry calculations and data-driven materials property predictions. A deep understanding of materials properties and close connections in academia and industry enable the group to explore exciting research avenues. For more information about the group’s research and philosophy head over to www.d2r2group.com

About The Opportunity

Job Summary

The Data-Driven Renewables Research (D2R2) group led by Dr. Peter Schindler is accepting applications for a postdoctoral research associate in the field of computational materials discovery starting in Summer 2025 . Our group is seeking to discover novel materials for renewable energy applications using high-throughput quantum chemistry calculations and data-driven materials property predictions. A deep understanding of materials properties and close connections in academia and industry enable the group to explore exciting research avenues. For more information about the group’s research and philosophy head over to www.d2r2group.com

Qualifications

• Strong background in ab-initio calculations of materials (density functional theory) and high-performance computing.
• Additional background in renewable energy, surface science, catalysis, and/or machine learning.
• Strong programming skills in Python and some exposure to machine learning.
• Ph.D. in Materials Science, Physics, Chemical Engineering, or related field.
• Strong interpersonal and communication skills.
  
  
  

Excellent publication track-record and basic experience with grant writing.

Position Type

Research

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.

Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

Compensation Grade/Pay Type

108S

Expected Hiring Range

$59,425.00 - $83,935.00

With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.

Seniority level

• Seniority level

  Internship

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  Higher Education

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