Postdoctoral Research Associate - Mechanical Engineering (cmu)

Job Description

Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University’s Department of Mechanical Engineering, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In addition, they are using their expertise in interdisciplinary research centers across the university.

Carnegie Mellon University’s department of Mechanical Engineering is searching for a Postdoctoral Research Associate to join their team.  This is an exciting opportunity for someone who thrives in an interesting and challenging work environment.  As part of deep robot learning, you will be responsible for building scalable, adaptable and reliable robots that can seamlessly interact with the real world. It will require a thorough understanding of machine learning, robotics, and multi-modal learning and large language models.

Leading the CMU Safe AI Laboratory, Ding Zhao aims to create trustworthy AI that is robust, safe, generalizable as well as explainable, verifiable, and human-centric. His long-term goal is to develop fundamental theories and practical technologies to safely deploy AI to address some of the world's most pressing problems.

Your core responsibilities will include:

• Working with various projects on enabling intelligent robots' tool-use capabilities to solve real-world physical puzzles.

• Assisting PI to write research proposals, papers, code, and reports for the Google's project.

• Publishing top venues.

• Other 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 communication skills

• Excellent attention to detail

Qualifications:

• PHD degree in ML or robotics required

  View Orignal JOB on: postdocjobs.one

• 3-5 years of experience

• Familiar in embodied AI. Particularly, applicants should have published papers in top ML conferences.

• Solid theoretical background and experimental experiences.

Those employees who are benefits eligible have the opportunity to experience the full spectrum of advantages from comprehensive medical, prescription, dental, and vision insurance to an enticing retirement savings program offering a generous employer contribution. You can also unlock your potential with tuition benefits and take well-deserved breaks with ample paid time off and observed holidays. Finally, rest easy knowing you are covered by life and accidental death and disability insurance. 

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

For a comprehensive overview of the benefits that may be awaiting you, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond just credentials, we consider the role and responsibilities, your invaluable work experience, and the knowledge gained through education and training. We acknowledge and appreciate your unique skills and the diverse 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 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

More Information: