Assistant Professor in Computational and Data Sciences at George Mason University
Fairfax, VA 22030, USA -
Full Time


Start Date

Immediate

Expiry Date

30 Nov, 25

Salary

0.0

Posted On

31 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Research, Communication Skills, Information Science, Research Funding, Interpersonal Skills, Collaboration, Teaching, Management Skills, Data Science, Scientific Computing, Graduate Students, Modeling, Social Sciences, Artificial Intelligence

Industry

Education Management

Description

Department: College of Science
Classification: 9-month Instructional Faculty
Job Category: Instructional Faculty
Job Type: Full-Time
Work Schedule: Full-time (1.0 FTE, 40 hrs/wk)
Location: Fairfax, VA
Workplace Type: Hybrid Eligible

REQUIRED QUALIFICATIONS:

  • Terminal degree in a related field;
  • Ph.D. in a closely related field including Data Science, Information Science, Scientific Computing, Simulation, and Modeling is required prior to starting this appointment;
  • Skill in developing and delivering high quality curriculum and instruction at the undergraduate and graduate levels;
  • Ability to conduct high-quality and impactful research;
  • Ability to produce peer-reviewed scholarship in major publication avenues in the field;
  • Ability to conduct research in collaboration with undergraduate and graduate students;
  • Ability to mentor undergraduate and graduate students;
  • Ability and knowledge for developing an active research agenda and activity in one or more fields of specialization; and
  • Ability to communicate with students, staff, and faculty effectively.

PREFERRED QUALIFICATIONS:

  • Demonstrated record of excellence in teaching;
  • Demonstrated record of publishing peer-reviewed scholarship;
  • Demonstrated record of pursuing or obtaining external research funding;
  • Relevant postdoctoral experience;
  • Demonstrated research record that combines Artificial Intelligence and/or Machine Learning with one or more of the following areas: Scientific Computing, Modeling & Simulation, or Computational Social Science;
  • Experience with a variety of technical environments commonly used in computational science and data science;
  • Strong knowledge of familiarity with the foundation and state-of-the-art in data science, scientific computing, modeling and simulation, and computational social sciences;
  • Knowledge of best practices for developing and delivering course curriculum;
  • Knowledge in research areas that align with or strongly complement those of the department;
  • Outstanding verbal and written communication skills;
  • Excellent organizational and time management skills;
  • Strong interpersonal skills; and
  • Ability to work and collaborate effectively in group settings.
Responsibilities

INSTRUCTIONAL DUTIES:

  • Teaches courses at the undergraduate and graduate levels in all course modalities (in-person and online) as assigned, develops new courses in area(s) of expertise, and supports teaching activities across undergraduate, certificate, and graduate programs in the department.
Loading...