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Carnegie Mellon University is a private, global research university that stands among the world's most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here!

As one of the oldest forms of applied science and engineering, Carnegie Mellon University's Department of Metallurgical Engineering 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.

The Materials Science and Engineering Department in the College of Engineering is seeking a postdoctoral scholar to join Mohadeseh Taheri-Mousavi's group. The postdoc will develop and conduct advanced machine learning techniques combined with computational research to study the mechanical behavior of welds.

Responsibilities:

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  Expert on steels and steel welding or additive manufacturing

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  Develop advanced machine learning framework to combine different modality and fields of data

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  Conduct CALPHAD-based simulations in a high-performance computing (HPC) environment

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  Perform data analysis and visualization

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  Perform machine learning and inverse design techniques

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  Train and supervise masters and doctoral students

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  Coordinate research with external collaborators

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  Report and present results

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  Identify problems and obstacles to progress; develop strategies to tackle problems

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  Participate in writing high impact papers, reports, proposals, and training

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  Document procedures; curate and preserve data

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  Perform other related duties as assigned

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Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can 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.

Qualifications:

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

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  Publications in peer-reviewed journals

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  Expert in advanced machine learning such as multi-agent generative AI, LLMs, Diffusion models, and traditional machine learning techniques

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  Expert in CALPHAD-based ICME techniques

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  Expert in combining different numerical tools via Python scripting

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  Experience conducting machine learning and inverse design models

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  HPC experience

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  Experience training and supervising students

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  High proficiency in writing skills

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  Teamwork, communication, and presentation skills.

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  A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered

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Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible ( employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance ( as well as a generous retirement savings program ( with employer contributions. Unlock your potential with tuition benefits ( , take well-deserved breaks with ample paid time off ( and observed holidays ( , and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team ( to help navigate childcare needs, fitness center access ( , and much more!

For a comprehensive overview of the benefits available, explore our Benefits page ( .

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. 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 an exciting opportunity with an exceptional organization?! 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

More Information:

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  Please visit "Why Carnegie Mellon ( " to learn more about becoming part of an institution inspiring innovations that change the world.

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  Click here ( to view a listing of employee benefits

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  Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran .

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  Statement of Assurance (

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Interested in a career with Carnegie Mellon University but not finding anything that currently aligns with your interests, background, or experience? Learn how to sign up for Job Alerts ( through your candidate profile.

If your heart is in your work, come work with us. Carnegie Mellon University isn't just one of the world's most renowned educational institutions - it's also a hotspot for some of the most talented doers, dreamers, and difference-makers on the planet. When you join our staff, you'll become an important part of our mission to create a healthier, safer, and more just life for all. No matter what your role or location, you'll connect and collaborate with dedicated, passionate colleagues - and you'll have the satisfaction of delivering work that truly matters.

We cultivate a vibrant, welcoming environment where everyone is valued and encouraged to contribute and achieve. In addition to competitive benefits and a robust support network, you'll have access to many tools and resources to sharpen your abilities and professional skills, as well as opportunities to engage and share perspectives with a dynamic and inspiring community of uniquely talented staff, faculty, students, and alumni.

The future is awaiting your expertise and intellect. Come join the architects of what's next. Apply now.

Learn more about Student Employment ( .

Please see Faculty Careers. (

For technical assistance, email HR Services ( ) or call 412-268-4600.

If you are an individual with a disability and you require assistance with the job application process, please email Equal Opportunity Services ( ) or call 412-268-3930.

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