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 academiaRole 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 campusesThis 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 assessments2. 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 acrossboth 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 andIteration• 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 StructureWe 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: [HIDDEN TEXT]. If you are looking for a teaching job, this is not it. If you want to build how mathematics is taught, we should talk.