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　　JOB DESCRIPTION AND POSITION REQUIREMENTS:

　　The College of Information Sciences and Technology is seeking a postdoctoral scholar to join an interdisciplinary team focusing on Human-AI collaboration to train mental health workers. The project is supported by an NSF grant. The position will involve developing computational methods to assess clinical sessions and provide actionable feedback to support effective training of mental health workers. It will be a full-time, postdoctoral scholar appointment for 24 months, with a possibility of renewing dependent upon performance. This position is available immediately.

　　Duties and 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

　　Required Qualification:

　　The candidate is required to have a Ph.D. or its equivalent in Computer Science, Information Science, or related field by appointment start date.

　　Desirable Qualifications:

　　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)

　　To Apply:

　　For information, contact [email protected]. All application materials should be uploaded at the same time at the time of application. Applicants should include with their application:

　　Cover letter describing qualifications

　　CV

　　Names and contact information of 3 professional references

　　Employment will require successful completion of background check(s) in accordance with University policies.

　　The College of IST is strongly committed to a diverse community and to providing a welcoming and inclusive environment for faculty, staff and students of all races, genders, and backgrounds. The College of IST is committed to making good faith efforts to recruit, hire, retain, and promote qualified individuals from underrepresented minority groups including women, persons of color, diverse gender identities, individuals with disabilities, and veterans. We invite applicants to address their engagement in or commitment to inclusion, equity, and diversity issues as they relate to broadening participation in the disciplines represented in the college as well as aligning with the mission of the College of IST in a separate statement.

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　　Employment with the University will require successful completion of background check(s) in accordance with University policies.

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