Term Assistant Professor, Computational and Data Sciences

Term Assistant Professor, Computational and Data Sciences

The position in the Department of Computational and Data Sciences (CDS) will support the department's efforts to achieve its mission in education and engagement. The successful Term Assistant Professor is expected to: (a) teach atboth the undergraduate and graduate levels, develop new course curriculum, and support the department's undergraduate, certificate, Master, and two PhD programs; and (b) participate and contribute to service at the department, college, university, and relevant scientific communities/organizations, as well as support department activities to promote its programs.

Responsibilities:

• Teach courses offered by CDS at the undergraduate and graduate levels in all course modalities (in-person, hybrid, and fully online) as assigned, develops new courses in area(s) of expertise, and supports teaching activities across undergraduate, certificate, and graduate programs in the department; holds office hours, mentors students, and supervises graduate and undergraduate student research, which may also include the oversight of GTAs, GRAs and department Student Teachers and Research (STAR) Assistants.
• Service to the department, college, and university: serves on department standing and ad-hoc committees, supports department efforts to grow and promote the department and its programs, and serves on college- and university-level committees appropriate for career stage and experience.

Required Qualifications:

• Doctoral degree in a closely related field including Data Science, Information Science, Scientific Computing, Computational Science, Artificial Intelligence, Simulation, or Modeling is required prior to starting this appointment;
• One year of experience teaching at the undergraduate level as a teaching assistant or instructor of record;
• Demonstrated commitment to ethics and professional values;
• Knowledge and skills in developing, delivering, and maintaining high quality curriculum and instruction at the undergraduate level in the following areas: data science foundations, data science ethics, scientific computing, and artificial intelligence;
• Ability to mentor undergraduate and graduate students and guide students in their academic and professional growth;
• Knowledge for and ability to develop new courses in one of more fields of specialization;
• Ability to communicate with students, faculty, and staff effectively; and
• Strong interpersonal skills to build professional relationships with students, faculty, and staff.

Preferred Qualifications:

• Demonstrated record of excellence in teaching at the undergraduate level;
• Two or more years of experience teaching at the undergraduate level as a teaching assistant or instructor of record;
• Two or more years of experience working in a computational and data sciences field in an industry or government setting;
• Experience teaching multi-section courses and large courses;
• Demonstrated teaching record that combines Artificial Intelligence and/or Machine Learning with one or more of the following areas: Scientific Computing, Modeling, Simulation, Scientific Visualization, or Computational Social Science;
• Experience developing and maintaining course curriculum and materials;
• Experience developing and/or implementing innovative teaching and student engagement methods;
• Experience with a variety of technical environments commonly used in computational science and data science, including relevant software and hardware;
• Strong knowledge and familiarity with the foundation and state-of-the-art in modeling and simulation, databases, data visualization, and high-performance computing;
• Knowledge in other areas that align with or strongly complement those of the department curriculum;
• Knowledge of best practices for developing and delivering course curriculum;
• Outstanding verbal and written communication skills;
• Excellent organizational and time management skills;
• Ability to work and collaborate effectively in group settings;
• Ability to work and collaborate effectively in interdisciplinary groups; and
• Commitment to mentoring and educating a broad range of students, particularly those who are traditionally underrepresented in STEM.

Instructions to Applicants:

For full consideration, applicants must apply for the Term Assistant Professor, Computational and Data Sciences at jobs.gmu.edu. Complete and submit the online application to include three professional references with contact information, and provide a letter of intent, CV, philosophy of teaching, and an unofficial copy of transcript (required only for candidates with less than 2 years of post-PhD experience).

Posting Open Date: February 9, 2026

For Full Consideration, Apply by: March 9, 2026

Open Until Filled: Yes

Each agency within the Commonwealth of Virginia is dedicated to recruiting, supporting, and maintaining a competent and diverse work force. Equal Opportunity Employer