Assistant​/Associate Professor in Data Science

Job Summary

Tuskegee University is committed to academic excellence, fostering innovation, and contributing to the advancement of knowledge in various fields. Our Data Science program is rapidly growing, and the ideal Assistant/Associate Professor in Data Science will possess the willingness to push the boundaries of research and education in this transformative field.

• Teaching courses in data science, including but not limited to programming, data analysis, machine learning, big data, data visualization, and statistical modeling.
• Advising and mentoring students.
• Grantsmanship.
• Conducting research in data science or a related field and actively pursuing external funding.
• Publishing in peer-reviewed academic journals and presenting research at national and international conferences.
• Participating in departmental service and university committees.
• Performing all other duties as assigned by the department chair.

• Ph.D. in Data Science, Computer Science, Statistics, or a closely related field by the start date is required.
• Experience in interdisciplinary research and collaboration with industry or government.
• Demonstrated ability to secure external funding for research.
• Excellent communication and leadership skills.

Science Preference will be given to candidates who can assist in further developing the Data Science program, the Master's of Science in Information Systems and Computer Security program with a concentration in Data Science, and online course development.

• Ability to operate standard office equipment.
• Ability to walk short distances.
• Ability to lift and carry parcels, packages and other items.
• Ability to view a computer terminal.

• Expertise in one or more of the following areas: machine learning, artificial intelligence, big data, data mining, statistical analysis, data engineering, or a related area.

• Demonstrated excellence in research with a strong publication record in peer-reviewed journals.

• Evidence of effective teaching and commitment to high-quality instruction at the undergraduate and/or graduate levels.