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<div class=""><b class="">Open Position - Postdoctoral Scholar for Multimodal Machine Learning and Natural Language Processing</b></div>
<div class=""><b class="">APPLY: </b><a href="https://usccareers.usc.edu/job/playa-vista/postdoctoral-scholar-for-multimodal-machine-learning-and-natural-language-processing/1209/13901794" class="">https://usccareers.usc.edu/job/playa-vista/postdoctoral-scholar-for-multimodal-machine-learning-and-natural-language-processing/1209/13901794</a></div>
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The University of Southern California’s Institute for Creative Technologies (ICT) is an off-campus research facility, located on a creative business campus in the “Silicon Beach” neighborhood of Playa Vista. We are world leaders in innovative training and education
solutions, computer graphics, computer simulations, and immersive experiences for decision-making, cultural awareness, leadership and health. ICT employees are encouraged to develop themselves both professionally and personally, through workshops, invited
guest talks, movie nights, social events, various sports teams, a private gym and a personal trainer. The atmosphere at ICT is informal and flexible, while encouraging initiative, personal responsibility and a high work ethic.<br class="">
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We are looking for an accomplished recent PhD graduate to work on a challenging yet exciting NIH-funded 4-year research project. The project seeks to understand the process and success of Motivational Interviewing (MI). Specifically, our project will address
shortcomings of current MI coding systems by introducing a novel computational framework that leverages our recent advances in automatic verbal and nonverbal behavior analyses as well as multimodal machine learning. Our framework aims to jointly analyze verbal
(i.e., what is being said), nonverbal (i.e., how something is said), and dyadic (i.e., in what interpersonal context something is said) behavior to better identify in-session patient behavior that is predictive of post-session alcohol use. The project is heavily
focused on machine learning, NLP, and data mining; it requires no data collection as all data has already been collected.<br class="">
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We are looking to add a talented machine learning (NLP, CV, or signal processing focus) Postdoctoral Research Associate to our interdisciplinary team of machine learning scientists, affective computing experts, and psychiatrists. Join our team's mission to
better understand therapy processes and predict outcomes!<br class="">
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Responsibilities include:<br class="">
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<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>• Design and implement state-of-the-art NLP machine learning algorithms to automatically code dyadic MI therapy sessions and predict behavior change in patients.<br class="">
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<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>• Push the envelope on current NLP and multimodal machine learning algorithms to better understand the MI process and outcome.<br class="">
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<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>• Conduct statistical analysis on verbal, nonverbal and dyadic behavioral patterns to describe their relationship with the MI process and outcome.<br class="">
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<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>• Write and lead authorship of high impact conference (ACL, EMNLP, ICMI, CVPR, ICASSP, and Interspeech) and journal papers (PAMI, TAFFC, and TASLP).<br class="">
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<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>• Support and lead graduate, undergraduate students, and summer interns to preprocess and annotate multimodal MI data.<br class="">
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Work collaboratively with: <br class="">
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<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>• Domain experts of MI research to automatically derive meaningful insights for MI research Experts.<br class="">
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<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>• Computer scientists across departments at the highly accomplished and interdisciplinary USC Institute for Creative Technologies<br class="">
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Have fun & learn while working at ICT with a great team and an incredible mission!<br class="">
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Minimum Education: PhD in computer science or engineering with a focus on NLP, CV signal processing or multimodal machine learning.
<div class="">Minimum Experience: At least 1 year of experience working with data compromising human verbal and/or nonverbal behavior. </div>
<div class="">Minimum Field of Expertise: Directly related education in research specialization with advanced knowledge of equipment, procedures, and analysis methods. </div>
<div class="">Skills: Comfortable with machine learning frameworks such as PyTorch or Tensorflow Excellent programming skills in Python or C++ Analysis Assessment/evaluation Communication-written and oral skills Organization Planning Problem identification
and resolution Project management Research
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--<br class="">
Stefan Scherer, PhD<br class="">
Associate Director of Neural Information Processing<br class="">
University of Southern California<br class="">
Institute for Creative Technologies<br class="">
<a href="http://ict.usc.edu" class="">http://ict.usc.edu</a><br class="">
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Research Assistant Professor<br class="">
University of Southern California<br class="">
Department of Computer Science<br class="">
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