We are seeking creative and energetic candidates with strong experience in multimodal machine learning and human behavior analysis and modeling 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 test multimodal machine learning algorithms to analyze and recognize multimodal human behavior in real world settings (e.g., Affective Computing, AI for Healthcare: pain measurement, monitoring mental health disorders). 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 multimodal machine learning and human behavior analysis (e.g., facial and gesture analysis and acoustic signal processing).

The candidate should be enthusiastic about collaborating with partners from multiple disciplines and institutions.

Required:

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

• Strong background in machine learning / computer vision, with specialization in one or more of the following areas: human behavior analysis, supervised/unsupervised/self-supervised learning, deep learning.

• Research experience in multimodal human behavior analysis, affective computing, AI for Healthcare, and multimodal machine learning.

• Very good presentation, communication, and organization skills.

Desired:

• Publications in top machine learning and/or computer vision conferences and journals.

• Research experience involving clinical applications (e.g., depression, pain).

• Experience and/or enthusiasm for mentoring students.

• Experience analyzing questionnaires and surveys.

• Experience with grant proposal preparation and coordination.

Job details:

• Full time position.

• Preferred start date: Now

• The position can be extended up to 2 years based on annual evaluation.

How to apply:

• Applications should be sent to https://www.cmu.edu/jobs/index.html

  • Reference: Postdoctoral Fellow - Robotics Institute- https://cmu.wd5.myworkdayjobs.com/en-US/CMU/details/ROB---HAMMAL---Postdoctoral-Fellow_2022833

• A single PDF file titled FirstNameLastName.pdf should be attached to the application, including:

  • a cover letter: brief letter of application, describing your qualifications and relevant experience to the position of interest (with expected date of availability),

  • a CV including a list of publications and two recent representative publications (including full citation information)

  • three reference letters (sent separately by the referees).

  • Please have the reference letters sent directly to adehart@andrew.cmu.edu

  • Incomplete applications will not be considered

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.

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

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

Job Function

Position Type

Full Time/Part time

Pay Basis

More Information: