Postdoctoral Research Associate - Materials Science and Engineering (cmu)

Job Description

As one of the oldest forms of applied science and engineering, Carnegie Mellon University’s Department of Materials Science and Engineering (MSE) was founded in 1906 and named after its emphasis on the study of metals. Since then, our field has broadened to include all classes of materials from ceramics and polymers to semiconductors and biological materials. Whereas early eras of civilization were widely identified by human’s ability to work with new material (Stone Age, Bronze Age), today our abilities and projects span a variety of materials and combine everything from physics and chemistry to civil and electrical engineering.

We are currently searching for a Postdoctoral Research Associate to join the MSE team.  This is an exciting opportunity for someone who thrives in an interesting and challenging work environment. You will contribute to the department by conducting computational research applying atomistic and CALPHAD-based simulations in combination of machine learning techniques to the study the mechanical behavior of alloys in extreme environments, and other such tasks as assigned to you.

Your core responsibilities will include:

• Conducting Lammps atomistic simulations in a high-performance computing (HPC) environment

• Performing data analysis and visualization.

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• Performing machine learning and inverse design techniques.

• Training and supervising masters and doctoral students.

• Coordinating research with external collaborators and reporting and presenting results.

• Identifying problems and obstacles to progress; develop strategies to tackle problems.

• Participating in writing papers, reports, and proposals.

• Documenting procedures; curate and preserve data.

• Perform other related duties as assigned.

Flexibility, excellence, and passion are vital qualities within Carnegie Mellon University. Inclusion, collaboration and cultural sensitivity are valued competencies at CMU. Therefore, we are in search of a team member who is able to effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.

You should demonstrate:

• Strong verbal and written communication skills

• Ability to work as a team

Qualifications:

• PhD Degree in MSE/MECHE or a related field (e.g., physics, chemistry, chemical engineering)

• Publications in peer-reviewed journals

• Expert Lammps user

• Experience conducting machine learning and inverse design models

• HPC experience

• Python programming

Joining the CMU team opens the door to an array of exceptional benefits, available to all full-time Carnegie Mellon University employees. Experience the full spectrum of advantages, from comprehensive medical, prescription, dental, and vision insurance to enticing retirement savings programs. Unlock your potential with tuition benefits, and take well-deserved breaks with generous paid time off and holidays. Rest easy knowing you're covered by life and accidental death and disability insurance. For a comprehensive overview of the benefits awaiting you, explore: https://www.cmu.edu/jobs/benefits-at-a-glance.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond just credentials, we consider the role & responsibilities, your invaluable work experience, and the knowledge gained through education and training. We acknowledge and appreciate your unique key skills and the diverse perspectives you bring. Our commitment to fostering an inclusive work environment means we also account for geographic differentials. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in this exciting opportunity?! Apply today

Location

Pittsburgh, PA

Job Function

Pre/Post-Doctoral Associates & Fellows

Position Type

Postdoctoral Associate / Fellow (Fixed Term)

Full Time/Part time

Full time

Pay Basis

Salary

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