Associate Professor / Professor – Mathematics & Data Science (Teaching Track)

Illinois Institute of Technology – Mumbai Campus

Illinois Institute of Technology (Illinois Tech), based in Chicago, is a private, Ph.D.-granting research university with world-renowned programs in architecture, engineering, computing, the sciences, humanities and social sciences, psychology, business, law, and design. Illinois Tech is ranked #1 in Illinois and #23 nationally in The Wall Street Journal’s “America’s Best Colleges 2024.”

Illinois Tech is expanding its global presence through the establishment of a new campus in Mumbai, India. The College of Computing at the Mumbai campus will offer the following degree programs:

• Bachelor’s in Computer Science
• Master’s in Computer Science
• Bachelor’s in Artificial Intelligence
• Master’s in Artificial Intelligence
• Master’s in Data Science

To support these programs, Illinois Tech invites applications for Associate Professor and Professor level teaching-track faculty positions in Mathematics and Data Science.

Position Summary

Illinois Institute of Technology seeks experienced and accomplished educators for Associate Professor and Professor teaching-track positions in Mathematics and Data Science at its Mumbai campus.These positions are intended for candidates with significant teaching experience and expertise in mathematical and statistical foundations relevant to data science, artificial intelligence, and computing disciplines. Faculty members will contribute to delivering high-quality instruction, mentoring students, and helping shape the academic direction of Illinois Tech’s programs in Mumbai. Courses will be delivered in person in Mumbai, India, and online teaching is not an option.

Key Responsibilities

• Teach undergraduate and graduate courses related to Mathematics, Statistics, and Data Science
• Deliver foundational and advanced courses such as:
  • Calculus
  • Discrete Mathematics
  • Probability and Statistics
  • Regression Analysis
  • Time Series Analysis
  • Bayesian Statistics
  • Mathematical Foundations of Machine Learning
• Contribute to curriculum development and course design for data science and computing programs
• Mentor and advise undergraduate and graduate students
• Participate in departmental leadership, academic service, and program development
• Support interdisciplinary collaboration within the College of Computing

Qualifications

Applicants must have:

• A Ph.D. in Mathematics, Statistics, Data Science, or a closely related field
• Significant teaching experience at the university level
• Demonstrated expertise in mathematics and statistical methods relevant to data science
• Evidence of academic leadership, curriculum development, or program building (particularly for Professor-level candidates)
• Strong communication and student mentoring skills

Preferred qualifications include:

• Experience teaching statistics and mathematics courses for data science, AI, or computing programs
• Experience with machine learning or computational statistics
• Prior experience teaching graduate-level courses

Application Requirements

Applicants must submit the following materials:

• Cover Letter
• Curriculum Vitae (CV)
• Teaching Statement detailing teaching experience, teaching philosophy, and teaching interests
• Names and contact information for three or more professional reference

If you are unable to upload the documents , please share your application pack at careers@daskalos.com