Fellow

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.

RESPONSIBILITIES:

• Recruit participants for research studies.

• Perform approved research project tasks according to defined protocols and procedures including appropriate collection, recording, storage, and analysis of data, and reporting of results.

• Ensure the proper preparation of equipment calibration for research project.

• Maintain appropriate equipment maintenance and usage by ensuring the adherence to laboratory standards.

• Follow appropriate research policies and procedures and maintains scientific integrity including accurate data storage.

• Communicate the daily progress of research projects via meetings with, and written reports to the research director.

• Responsible for following the mandatory reporting procedures for any incident or event that did affect or potentially could affect the project goals and workflow.

• Optimize protocols and improve methods currently employed.

• Coordinates work consistently to achieve maximum productivity.

• Demonstrates ability to deal with changes in priorities to provide smooth and consistent workflow.

• Interacts with interdisciplinary professional partners.

• Other duties as assigned.

REQUIREMENTS:

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.

How to Apply:

Important Note: Applications missing any 3 of the mandatory document listed below will be REJECTED and not considered for the role.

Applications should be sent to

Applications MUST contain the 3 mandatory files titled FirstNameLastName.pdf and sent to [email protected]

A Cover Letter: letter of application, describing your qualifications and relevant experience to the position of interest (with expected date of availability)

A detailed CV (including full publications citation if applicable)

Three reference letters (sent separately by the referees).

Incomplete applications will not be considered and dispositioned.

"Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over sponsorship of an employment visa for this opportunity."

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

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 Mellon

  ” to learn more about becoming part of an institution inspiring innovations that change the world.

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