Mathematics Engineer

Important:

Interested and eligible candidates are requested to submit their application through the Google Form link provided.

Application link:

Location:

Eligible Candidates:

• PhD

  holders in Mathematics, Applied Mathematics, Computational Mathematics, Statistics, or related fields.

• M.Tech

  graduates in Mathematics-intensive specializations (Engineering Mathematics, Data Science, AI/ML, Computational Sciences, etc.) with strong conceptual mastery.

• Individuals passionate about teaching, curriculum innovation, and mathematics-driven problem-solving.

About UGSOT

next-generation engineering education initiative

4-year, UGC-recognised B.Tech programs

full-stack development, cloud computing, AI tools, real-world projects, and practical labs

About the Role

• Build and refine advanced mathematics content that powers cutting-edge engineering specializations.

• Translate complex mathematical theories into clear, practical real-world applications.

• Mentor learners to think critically, analytically, and creatively.

• Contribute to innovative curriculum design grounded in rigor and relevance.

• Work at the intersection of academics, engineering, and educational innovation.

• Receive

  hands-on training in all essential tools, teaching methodologies, and curriculum development frameworks

  to excel in your role.

• Gain experience that prepares you for a strong academic or ed-tech career path.

Ideal Candidate Profile

You will excel in this role if you:

• Possess a

  PhD

  or

  M.Tech

  with significant mathematical depth.

• Have expertise in key mathematical domains such as:
• Linear Algebra
• Calculus & Differential Equations
• Discrete Mathematics
• Probability & Statistics
• Numerical Methods
• Optimization & Mathematical Modeling
  
• Are proficient with computational tools and programming fundamentals.
  
• Can break down complex ideas without compromising on rigor.
  
• Are passionate about curriculum design, teaching, and academic excellence.
  
• Enjoy exploring innovative ways to connect mathematics with engineering, AI, ML, and computational sciences.
  
• Communicate clearly, mentor effectively, and bring a learner-first mindset.

What You Gain

• Opportunity to shape the mathematical capabilities of future engineers and technologists.
  
• Academic freedom to design, experiment, and innovate within mathematics education.

• Exposure to interdisciplinary work across engineering, AI, robotics, data science, and applied research.
  
• Growth pathways into academic leadership, curriculum strategy, and research roles.
  
• A collaborative ecosystem where innovation, curiosity, and learner impact matter.
  

Why Join Us

• Be part of a mission-driven institution transforming engineering education at scale.

• Work with passionate educators, researchers, and technologists.
  
• Enjoy autonomy in academic creation and innovation.
  
• Make a measurable impact on thousands of learners across diverse programs.

• Thrive in a culture that values excellence, creativity, and purpose-driven teaching.