Senior professor (Course owner)-Mathematics (CS& AI), Sonipat

Senior Mathematics Faculty (Course Owner) Newton School of Technology — in partnership with Rishihood University, Ajeenkya DY Patil University & St.Mary's Uviversity. Locations: Sonipat, Pune and Hyderabad (Hiring across campuses) Type: Full time, on-campus Who this is for: Experienced educators who want to own a course as a system, and senior industry practitioners with deep applied math expertise who are ready to build something in academia Role Overview: This is not a conventional teaching role. We are not looking for someone who can “cover syllabus” or “deliver lectures.” We are looking for someone who can own a course as a system. At Newton School of Technology, mathematics is not a support subject. It is the intellectual backbone of Computer Science, AI/ML, and problem solving. As a Senior Faculty member, your role is to ensure that students don’t just learn mathematics — they learn how to think with it. We’re building a faculty cohort that includes both experienced educators and senior practitioners from industry. Some of our colleagues are ex-ISRO scientists, PhDs, and senior researchers — people who have done serious applied work and now want to shape how the next generation learns. What You Will Own: You will own one or more core mathematics courses (M1/M2/M3/M4) and be responsible for the following:
- The conceptual clarity of students
- The coherence between lectures, labs, assignments, and exams
- The quality and growth of junior instructors
- The alignment of the course across both campuses This is not content delivery. This is system ownership. Core Responsibilities: 1. Course Ownership
- Design and refine the full learning journey of the course — from intuition to structure to abstraction
- Maintain tight alignment between lectures, labs, Problem Solving Tutorials (PSTs), and assessments 2. Pedagogy and Content Design
- Design work-along sheets, not passive slides
- Create problem sets that reveal understanding, not pattern recognition
- Build conceptual bridges — Logic Programs, Sets Data Structures, Linear Algebra Machine Learning 3. Faculty Leadership
- Lead and mentor junior instructors across both campuses
- Conduct pre-class and post-class syncs
- Ensure consistency and quality across all sections 4. Assessment Design
- Design exams that test thinking, not memory
- Create layered problems where students discover ideas
- Ensure assessments reflect true understanding 5. Feedback and Iteration
- Identify patterns in student misunderstanding.
- Continuously refine course design.
- Provide structured feedback to the Team. KPIs — What Success Looks Like:
- Students can solve unseen problems.
- Students explain concepts, not just apply formulas.
- Lectures, labs, and assignments are tightly aligned.
- Junior instructors are improving and synchronized.
- Exams require thinking and cannot be gamed. Failure Modes — What Failure Looks Like:
- Students rely on memorization and fail on new problems
- Teaching becomes slide-driven or procedural
- Labs and lectures drift apart
- Junior instructors teach inconsistently
- Exams become predictable or shallow Whom We’re Looking For: We’re open to two distinct profiles, both of which can succeed in this role: Profile A — Experienced Educators
- 5–8 years of teaching or mentoring experience at the undergraduate engineering level.
- Demonstrated ability to design or improve courses, not just deliver them.
- Strong foundation across Linear Algebra, Probability, Discrete Math, Calculus. Profile B — Senior Industry Practitioners
- Senior-level experience as an IC, researcher, or technical leader — ISRO, DRDO, BARC, AI/ML research labs, quant finance, semiconductors, robotics, or any field where applied mathematics is core
- Have mentored teams, led internal training, given technical talks, or otherwise shown a pull toward teaching — even if you’ve never taught a formal course
- Willing to invest in pedagogy — we’ll support the transition with onboarding, co-teaching, and structured ramp-up Across both profiles, we look for:
- Can you take a concept and build a full learning journey around it?
- Can you design a problem that reveals understanding?
- Can you critique poor teaching and improve it?
- Can you lead other instructors? What we don’t require
- PhD (welcome but not required — deep applied experience can substitute)
- NET/SET/GATE qualifications
- Published academic papers Our Pedagogy — What Makes Us Different: 1. Work-Along Learning Students don’t watch lectures. They work through them. 2. Problem-First Approach Concepts emerge from problems, not the other way around. 3. Mathematics as Structure We treat mathematics as a way to give structure to systems — Sets → Data Structures, Logic → Programs, Algebra → Systems. 4. Depth via SOLO Taxonomy We design learning from surface understanding to abstraction. 5. Problem Solving Tutorials (PST) A shared intellectual space between mathematics and algorithms. 6. Exams as Discovery Students discover ideas during exams, rather than reproduce them. Why Join Us:
- Work on a system that is rethinking mathematics education from the ground up.
- Collaborate with mathematicians, engineers, ex-ISRO scientists, and senior researchers.
- Build something that scales beyond one classroom — across two campuses and a growing program.
- Real ownership and influence over what gets taught and how. How to Apply: Send your CV (or LinkedIn profile) and a short note — a few paragraphs is enough — about why this role interests you and which areas of math you’d want to own. Email: . If you are looking for a teaching job, this is not it. If you want to build how mathematics is taught, we should talk. Apply on Kit Job: kitjob.in/job/4l9z6r