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Research Post-Doc Fellow - Computational Approaches and Machine Learning - | Research Post-Doc Fel1

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Research Post-Doc Fellow - Computational Approaches and Machine Learning -

Location:
Philadelphia, PA
Description:

SHIFT:Day (United States of America) A Brief Overview Assume responsibility for an on-going, innovative research project as a Postdoctoral Fellow at CHOP. Our postdoc experience will broaden your skillset, scientific background, and research capabilities. CHOP's Commitment to Diversity, Equity, and Inclusion CHOP is committed to building an inclusive culture where employees feel a sense of belonging, connection, and community within their workplace. We are a team dedicated to fostering an environment that allows for all to be their authentic selves. We are focused on attracting, cultivating, and retaining diverse talent who can help us deliver on our mission to be a world leader in the advancement of healthcare for children.We strongly encourage all candidates of diverse backgrounds and lived experiences to apply. Responsibilities * Participate in project planning, recording, and evaluation of data. * Conduct independent scholarly research, developing new methods and protocols under the guidance of a mentor (principal investigator). * Acquire technical, lab management, and grant writing skills. * Participate in seminars, lectures, poster sessions, national presentations, and professional workshops. * Supervise junior lab members.* Assist with other research projects as needed. Education Qualifications Doctorate ( required ) About the Laboratory We are seeking postdoctoral fellow applicants with interest and experience in computational approaches and machine learning for use in quantitative measurement of human behavior. This research is conducted at the Center for Autism Research (CAR) in Children's Hospital of Philadelphia (CHOP) and at University of Pennsylvania (UPenn), as a part of an NIH grant. The fellow will be part of a big multidisciplinary team that develops computer vision and machine learning tools to quantify children's and adults' behavior in the context of a social interaction/conversation.Computational behavior analysis is an emerging and exciting domain within psychiatric research, harnessing the power of computer vision, machine learning, and mathematical modeling to better capture and quantify all observable human behavior. Developments in this domain have the potential to rapidly advance our understanding of human behavior, thereby also facilitating an extremely fruitful and rewarding career path for young computational scientists.CAR provides a unique environment for talented postdoctoral fellows to study the human mind and behavior, with collaborations between engineers, computational scientists, hardware developers, psychologists and psychiatrists. We offer expertise in computational analysis of human behavior, with specific expertise in developmental or psychiatric disorders. A key goal of the center is to develop tools to quantify human behavior and interactions from video and audio recordings, using state-of-the-art computer vision and machine learning techniques. The fellow will be responsible for:* Developing computer vision techniques (e.g., face analysis, body movement analysis, gesture analysis)* Validating developed tools using in-house clinical data, as well as publicly available dataset* Performing pattern recognition on collected data (i.e., classification, regression, clustering, feature learning)The ideal applicant will have prior experience in statistical and quantitative methods, as well as an appetite to learn. Job Requirements * PhD in computer science, electronic engineering or a related field* Research experience in computer vision and machine learning * Proficiency in Python and/or MATLAB; C++ is a plus* Strong self-motivation, strong problem-solving skills, and ability to generate novel ideas Desired * Ability to make a 2 year commitment* Publications in top computer vision and machine learning conferences and journals* Research experience in quantifying human behavior (e.g., affective computing) To carry out its mission, CHOP is committed to supporting the health of our patients, families, workforce, and global community. As a condition of employment, CHOP employees who work in patient care buildings or who have patient facing responsibilities must be fully vaccinated against COVID-19 and receive an annual influenza vaccine. Learn more. Employees may request exemptions for valid religious and medical reasons. Start dates may be delayed until candidates are immunized or exemption requests are reviewed. EEO / VEVRAA Federal Contractor | Tobacco Statement
Company:
Children's Hospital Of Philadelphia
Industry:
Other
Posted:
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