Posting Details
Position Information
Posting Number 201104744 Position Title Research Assistant Professor State WI Employment Status Full Time Position Status Limited Term If Limited Term (End Date of Assignment, Project, or Grant) 07/31/2027 Position Type Faculty Job Family Faculty # Hours Per Week Position Overview
The Ubicomp lab (https://ubicomp.cs.mu.edu) of Computer Science Department is dedicated to innovation and development in digital health technologies, systems and applications. In addition, it promotes Data science that lets it delve into the different multidisciplinary research problems and come up with the data-driven solutions using advanced data science techniques such as Deep Learning, Machine Learning Algorithms, Natural Language Processing, etc. The Ubicomp lab is looking for a key role on the research team to participate in big data analytics in health sciences with a focus on non invasive computing. This involves working with large datasets from various sources, collaborate with researchers to develop predictive models to aid in detection diagnosis and management of patients with diseases. Position Requirements: The candidate should have a PhD degree in Computer Science, Engineering , or a related quantitative field. The following qualifications are not required, but highly valued: (a) strong background and training in statistical theory and methodology; (b) proficiency/experience in C/C++ or Python; excellent oral and written communication skills.
Duties and Responsibilities
Required Knowledge, Skills and Abilities
Earned doctorate or appropriate terminal degree. Must be willing to work flexible hours as necessary.
Preferred Knowledge, Skills and Abilities
Department Computer Science Posting Date 05/11/2026 Closing Date 05/22/2026 Special Instructions to Applicants
Please submit a cover letter, CV and three references to
Walvoort, Jackie
EOE Statement
It is the policy of Marquette University to provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other applicable federal or state-protected classification.
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