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

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: [Confidential Information].

If you are looking for a teaching job, this is not it. If you want to build how mathematics is taught, we should talk.