Postdoctoral Fellow - Robotics Institute

Full Time

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Pittsburgh, PA

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Carnegie Mellon University

Carnegie Mellon University’s Robotics Institute is searching for a Postdoctoral Fellow to join their team. This is an exciting opportunity for someone who thrives in an interesting and challenging work environment.

The Postdoctoral Research Associate is to carry out advanced independent and/or directed research to achieve the objectives of the research project. This position will require an in depth knowledge of a specialized field, process, or discipline and may involve organizing and implementing complex research plans, the development of methods of research, testing and data collection, analysis and evaluation, and writing reports which contain descriptive, analytical and evaluative content. The purpose of this role is to acquire the professional skills needed to pursue a career path of his or her choosing.

Responsibilities:

  • Assist in grant writing to secure funding for ongoing and future research projects.

  • Collect and analyze data, including periodical/literature search and utilizing specialized skills in related field to analyze the collected data.

  • Conduct research experiments within the predetermined research scope and methodology of department and university.

  • Lab maintenance, including equipment maintenance and ordering of supplies may be required depending on area and specialty.

  • Lead research project on multimodal foundation models and neural rendering. Participating/assisting in manuscript writing for publication in first-tier computer vision and machine learning conferences.

  • Maintain lab equipment and mentor graduate students. Collect and analyze data, including performing literature reviews and utilizing specialized skills to interpret findings.

  • Participate/assist in manuscript writing for publication in scientific journals and/or presentations. May also assist in grant writing.

  • Other duties as assigned.

Requirements:

  • Doctorate Degree in Computer Science, Electrical Engineering, or a related field.

  • Strong background in computer vision and deep learning.

  • Proven record of first-author publications in top-tier conferences (CVPR, ICCV, ECCV, NeurIPS).

  • Excellent data analysis and problem-solving skills.

  • Ability to work independently and collaboratively within a research team.

  • Good working knowledge of foundation models.

  • Understanding of neural rendering techniques (NeRF, Gaussian splatting.

  • Strong coding and analytical skills required.

  • Strong communication, problem-solving and reasoning, and organization and planning skills required Nice-to-have Skillsets (proficiencies, competencies, research, software skills

  • 3D computer vision.

  • Experience with AR/VR/XR environments and headsets.

  • Strong analytical skills.

  • Strong oral and written communication skills.

  • Strong organization and planning skills.

  • Strong problem-solving and reasoning skills.

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 is about finding the perfect fit for your professional growth and personal aspirations.

Apply Here

Are you interested in this exciting opportunity?! Apply today!

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

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 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: 

Please visit Why Carnegie Mellonto learn more about becoming part of an institution inspiring innovations that change the world. Click here to view a listing of employee benefitsCarnegie Mellon University is an Equal Opportunity Employer/Disability/VeteranStatement of Assurance