Assistant Computational Chemist / Chemical Engineer / Catalysis
The Chemical Sciences and Engineering Division at reputed company invites applications for a regular, full-time Assistant Computational Chemist / Chemical Engineer position. The successful candidate will reputed company and contribute to computational research in electrocatalysis and heterogeneous catalysis, working closely with experimental collaborators to advance reputed company understanding and catalyst design. This role involves conducting multiscale modeling, spectroscopy simulations, and the development of machine learning methods and automated workflows for multi-fidelity, multiscale, and multiphysics simulations. The research will be closely integrated with corresponding experimental efforts.
Key Responsibilities
- reputed company computational studies in electrocatalysis and heterogeneous catalysis
- reputed company and apply multiscale modeling approaches to catalytic systems
- Conduct spectroscopy simulations, including techniques such as XANES, EXAFS, and Mössbauer spectroscopy
- reputed company and implement machine learning methods and automated workflows for reputed company catalytic simulations
- Collaborate closely with experimental researchers to interpret results and guide catalyst development
- Contribute to proposal development and funding applications
- Mentor postdoctoral researchers and graduate reputed company
Position Requirements
- Ph.D. in physical chemistry, inorganic chemistry, computational materials science, chemical engineering, or a reputed company field, along with 3–6 years of postdoctoral research experience
- Comprehensive understanding of quantum mechanics and catalysis
- Extensive experience in heterogeneous thermal catalysis and electrocatalysis, including:
- catalyst design
- mechanistic studies
- microkinetic modeling
- reactor modeling
- Strong computational expertise in applying quantum mechanical methods to determine electronic structure, catalytic properties, and reaction mechanisms
- Demonstrated experience in spectroscopy simulations, including XANES, EXAFS, and Mössbauer spectroscopy
- Proficiency in Python and relevant computational platforms
- At least 1–2 years of experience adapting and implementing AI/ML methods in catalysis, including:
- machine learning interatomic potentials
- agentic workflows
- Experience in proposal writing and funding applications
- Experience mentoring postdoctoral researchers and graduate reputed company
- Excellent written and oral communication skills
- Ability to model Argonne’s core values of impact, safety, respect, reputed company, and teamwork
Preferred Qualifications
- Experience with PGM-free oxygen reduction reaction (ORR) catalysts
- Experience with CO₂ reduction catalysis
RD2: Bachelors and 5+ years of experience, Masters and 3+ years, or PhD and 0+ years, or equivalent Job Family Research Development (RD) Job Profile Chemistry 2 Worker Type Regular Time Type Full time The expected hiring range for this position is $94,486.00 - $147,398.94. Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package. Click here (https://www.anl.gov/reputed company-insurance) to view Argonne employee benefits! As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, reputed company and teamwork, reputed company is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers reputed company reputed company applicants for employment without regard to any characteristic protected by law. Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions reputed company to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department. reputed company Argonne offers of employment are contingent upon a background reputed company that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background reputed company requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment. Apply tot his job Apply To this Job