We are seeking creative and energetic candidates with strong experience in robotics and machine learning for manipulation and professor for a one-year postdoctoral position. Using recent progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and machine learning algorithms to perform robotic tasks in real world settings.
The successful candidate will have primary responsibility for all facets of the project, including papers writing and students mentoring. Preference will be given to candidates with a proven track record, demonstrating relevant skills and extensive experience in machine learning and robotics (e.g., manipulation, planning, and control). The candidate should be enthusiastic about collaborating with partners from multiple disciplines and institutions.

Job Functions:

• Primary responsibility for all facets of the project, including paper writing and student mentoring.
• Identifies problems and obstacles to progress; develops strategies to solve problems.
• May program software in support of job functions. Attends project meetings.
• Additional Job Functions
• Performs related duties as assigned.
• Uses a variety of software packages to input, manipulate, collect and record results or observations.

Preferred Qualifications:

• PhD in in robotics, computer vision, machine learning, artificial intelligence, or a closely related field preferred.

Required Skillsets:

• Strong background in robotics, with specialization in one or more of the following areas: computer vision, supervised/unsupervised/self-supervised learning, deep learning.
• Research experience in multimodal robot manipulation, perception, machine learning and planning are encouraged.

Nice-to-have Skillsets:

• Very good presentation, communication, and organization skills.
• Publications in top machine learning and/or computer vision conferences and journals.
• Experience and/or enthusiasm for mentoring students.
• Experience analyzing questionnaires and surveys.
• Experience with grant proposal preparation and coordination.

CMU’s COVID-19 Vaccination Requirements: As a condition of employment, Carnegie Mellon University requires all staff and faculty working in the United States to be fully vaccinated, including a booster when eligible, against COVID-19. Prior to commencement of employment, new hires in the United States must provide proof of vaccination or obtain an approved exemption. (Exemptions may be requested for medical reasons or for religious or strong moral or ethical conviction.) Those granted an exemption must comply with all applicable COVID-19 mitigation requirements. The most up-to-date information on CMU's COVID-19 mitigation requirements can be found here: Minimum Requirements to Return to Campus .

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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