Postdoc Position in computational modeling for materials discovery at RPI

Postdoc Opening in Computational Materials Research

Qualifications:

o   Ph.D. in Mechanical Engineering or related fields

o   Proficiency in finite element modeling and simulation

o   Substantial experience with computational mechanics, fracture mechanics, and machine learning

o   Strong abilities in code development and use finite element software packages

o   Strong independent and critical thinking skills with commitment to excellence in research

o   Have ability to maintain accurate and detailed records, excellent interpersonal and communication skills, knowledge of and ability to pay strict attention to research protocols

Responsibilities:

o   Develop machine learning accelerated design and discovery simulation models, methods, and algorithms in better understanding the behaviors and properties of environmental barrier coatings 

o   Collaborate with interdisciplinary teams, presenting findings and contributing to project discussions

o   Mentor graduate and undergraduate students 

o   Contribute to the publication of research findings in top-tier journals and conferences

Why Join Us:

o   Access to the state-of-the-art facilities and resources (including Quantum One) at Rensselaer

o   Opportunities to participate in proposal writings and becoming a principal investigator

o   Foster your professional growth through mentorship and collaboration

Application Process:

o   Please send your CV, a cover letter outlining your research interests and expertise, to zhanglucy@rpi.edu. Position opens immediately, until filled. The appointment is one year and can be renewed.