Postdoctoral Researcher

1 day ago


University Park, United States Penn State University Full time
Job Summary

We are seeking a highly skilled Postdoctoral Researcher to join our interdisciplinary team at the Penn State University. The successful candidate will be responsible for developing computational methods to assess clinical sessions and provide actionable feedback to support effective training of mental health workers.

Key Responsibilities
  • Develop machine learning models to identify relevant signals from audio and text data from clinical sessions
  • Develop and evaluate interactions to convey model outcomes as actionable insights
  • Integrate user feedback to improve model performance and interactions
  • Communicate research findings to the broader scientific community
  • Provide guidance and supervision to graduate and undergraduate students working in the lab
Requirements
  • Ph.D. or equivalent in Computer Science, Information Science, or related field
  • Strong research skills in relevant areas (e.g., Foundation models, deep learning, natural language processing, reinforcement learning)
  • Familiarity with speech analysis and processing
  • Strong programming skills
  • Excellent communication skills (oral, written, presentation)
Preferred Qualifications
  • Experience in developing and evaluating machine learning models
  • Knowledge of human-computer interaction and user experience design
  • Ability to work in a team environment and collaborate with researchers and clinicians
About the College of IST

The College of Information Sciences and Technology at Penn State University is a leading institution for research and education in the field of information sciences and technology. Our faculty and students are dedicated to collaboration and applying knowledge to make human lives better.

Equal Employment Opportunity

Penn State University is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.



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