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:
- Write code and develop novel theoretical and practical state of
the art artificial intelligence/machine learning algorithms that
are focused on human behavior modeling related to video
classification using deep learning networks for end-users.
Work with other team members to develop and maintain software
for maximum efficiency and usability.
Designs, develops, tests and maintains applications or system
programs.
Gathers and provides input on functional specifications and
requirements.
Perform approved research project tasks according to defined
protocols and procedures including appropriate collection,
recording, storage, and analysis of data, and reporting of
results.
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 programming skills.
- Strong background in machine learning / computer vision/ human
behavior modeling, with specialization in one or more of the
following areas:, supervised/unsupervised/self-supervised learning,
large vision models, multimodal foundation models, transfer
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
https://cmu.wd5.myworkdayjobs.com/CMU
Applications
MUST contain the 3 mandatory files listed
below:
1.
Cover Letter: letter of application, describing
your qualifications and relevant experience to the position of
interest (with expected date of availability).
2. A detailed
CV (including full publications
citation if applicable)
3. Three
reference letters (sent separately by the
referees to me at adehart
@andrew.cmu.edu
Incomplete applications that are missing any of the 3 files
listed above will not be considered and dispositioned.
*** If you are an international student on an F-1 visa, please
check with your Designated School Official (DSO) or academic
counselor at your current institution about the right time to apply
for Curricular Practical Training (CPT) before applying to a role
with CMU. ***
"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.
- Click here to view a listing of employee benefits
- Carnegie Mellon University is an Equal Opportunity
Employer/Disability/Veteran .
- Statement of Assurance
