Update: CCANDL Welcomes Dr. Deling He as Postdoc!; CCANDL is Hiring A Postdoc!

Deling is smiling in this photo. She is straight black hair and is wearing a black and white checkered button up shirt. She is wearing blue earrings and a necklace with a gold heart on it. She is standing in front of a gray and white brick wall.

Dr. He recently earned her Ph.D. degree in communication sciences and disorders from the University of Memphis. She is passionate about incorporating multidisciplinary research to understand the sensory-motor neurocognitive processing of speech (e.g., neural oscillations, speech rhythms, semantic memory). She is also interested in fostering open-access research and promoting diversity and inclusion in the academic community.


Research Associate (Postdoc)

Research Area: Cognition in Alzheimer’s disease and related dementias

Department: Communication Sciences and Disorders

Mentor: Kimberly D. Mueller, Ph.D. CCC-SLP

Deadline: 2/1/2024

Start date: 4/1/2024

Position Requirements: The candidate should have completed a Ph.D. in any of the following: speech-language pathology; neuroscience; psychology; linguistics; biostatistics; or computer science/engineering with a specialization in computational linguistics or speech signal processing.

Position Duties: The individual in this position will join a research project related to speech, language and communication changes in individuals at risk for developing Alzheimer’s disease and related dementias. The Wisconsin Registry for Alzheimer’s Prevention is a longitudinal cohort study with over 10 years of cognitive, health, lifestyle, biomarker, and speech and language data. Individuals who are interested in working with large datasets are strongly encouraged to apply. Laboratory skills relevant to this position include experience with and/or understanding of cognitive and linguistic data, Alzheimer’s disease and related dementias, and statistical methods including linear mixed effects models, ROC analyses, and basic statistical designs.  The ideal candidate will have additional experience in natural language processing, machine learning methods, and other ways of analyzing large amounts of language data, and/or the ability to extract acoustic measures from connected speech recordings. The select candidate will work in collaboration with Dr. Kimberly Mueller.

Application Instructions: Applicants should provide their CV with and cover letter and list of three references to Kimberly D. Mueller: kdmueller@wisc.edu.

You can also view the position details HERE