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Extreme-Scale, Nano & Fundamental Engineering

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Mathematical Physicist

The mathematical structure of physical theories, working across into Division 01.

Mid Full-Time On-site — Kolkata, West Bengal, India Permanent

Compensation

Engagement

Full-Time

Permanent role. Full-time commitment. This is an on-site role at Kolkata. It is not remote and not hybrid.

Scope of role

Drive specific initiatives with minimal supervision. Deepen craft. Begin mentoring others.

Research classification

Theoretical Theoretical research Level 4 · Specialist Mathematics & Computational Foundations →

Formulating and analysing physical theories, and deriving what they predict. Derivations, consistency arguments, predicted observables, written results with stated assumptions.

Theoretical research. Mathematical and theoretical work. Derivation and internal consistency are the standard here; experimental confirmation is not currently available at this scale.

Scale range 10^-100 m to 10^-18 m

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10-100 m 100 m 10100 m
Experiments reach here 3 bands no experiment reaches This role

A numerical result without a convergence statement is an opinion with decimal places. This division reports the order of a scheme, the conditions under which it is stable, and the regime where its error estimate no longer holds. Where a method is used outside the range it was analysed for, that is stated rather than hoped over. Scientific integrity is a condition of every role in this department. Assumptions are stated separately from conclusions. Uncertainty is reported. Negative and inconclusive results are written up, not discarded. Speculative work is labelled speculative, including when that makes it less impressive. Fabrication, falsification, and presenting a simulation as a measurement end an engagement here.

Scale bands are a research classification, not a claim of experimental reach. Most of this span cannot be probed by any apparatus that exists: nothing below about 10^-19 m has been measured directly, and anything at 10^26 m or beyond is inferred from observation rather than engineered. Every opportunity states the kind of work it actually is.

01 — The role

Why this role exists at EduRankAI

Department of Extreme-Scale, Nano & Fundamental Engineering, Division D09: Mathematics & Computational Foundations. This division develops the mathematics other divisions use. It builds numerical methods and proves what they converge to, designs optimisation algorithms, and supports modelling across every scale band the department declares. It is a service division and a research division at once, and it is mandatory to the department because a method nobody has analysed is a method nobody should trust. This position: The mathematical structure of physical theories, working across into Division 01. Scale range for this work: 10^-100 m to 10^-18 m. Research classification: Theoretical. Formulating and analysing physical theories, and deriving what they predict. Evidential standing: Theoretical research. Mathematical and theoretical work. Derivation and internal consistency are the standard here; experimental confirmation is not currently available at this scale. A numerical result without a convergence statement is an opinion with decimal places. This division reports the order of a scheme, the conditions under which it is stable, and the regime where its error estimate no longer holds. Where a method is used outside the range it was analysed for, that is stated rather than hoped over. Scale bands are a research classification, not a claim of experimental reach. Most of this span cannot be probed by any apparatus that exists: nothing below about 10^-19 m has been measured directly, and anything at 10^26 m or beyond is inferred from observation rather than engineered. Every opportunity states the kind of work it actually is. Level 4 (Specialist). The deep technical authority on a specific method or subsystem that other people depend on.

02 — The work

What you will own

  • 01 Develop the mathematical foundations other divisions build their models on.
  • 02 Create numerical methods and establish what they converge to and under what conditions.
  • 03 Analyse convergence, stability and conditioning, and report the regime where the analysis holds.
  • 04 Develop optimisation algorithms and characterise where they fail as well as where they succeed.
  • 05 Support modelling across every division, including saying when a proposed model is ill-posed.
  • 06 Review other divisions' numerical work and say plainly when a result is not supported by its method.
  • 07 Hold the deep technical authority on a specific method or subsystem that other people depend on.
  • 08 Make that method usable by others: documented, tested, and with its regime of validity written down.

03 — The expertise

What we look for

Can state and use the definition of convergence for a numerical scheme, not just cite the order.Linear algebra to the level of conditioning, decompositions and why an ill-conditioned problem is not a bug in the solver.Real analysis: limits, continuity, and what makes a problem well-posed.Has implemented a numerical method from a paper and verified its convergence order empirically.Probability and statistics sufficient to state what a confidence interval does and does not claim.PythonJuliaC++Symbolic mathematics

04 — The bar

Who thrives here

  • Education: Doctorate, or equivalent depth demonstrated through published or shipped work.
  • Experience: 4 to 7 years concentrated in one technical area, with demonstrable depth in it.
  • Scope of the role: The deep technical authority on a specific method or subsystem that other people depend on.
  • Must have: Can state and use the definition of convergence for a numerical scheme, not just cite the order. Also: Linear algebra to the level of conditioning, decompositions and why an ill-conditioned problem is not a bug in the solver.
  • Portfolio: at least one piece of work — code, a written result, a thesis chapter, a preprint — that somebody outside your institution can read and assess. It does not need to be published.

Terms of Engagement

How working time works at this level

A scheduled week: five days, eight hours a day, with two full rest days and latitude over when within the day you work.

Type

Mid-level

Working days

5 per week

Rest days

2 per week

Scheduled week

40 hrs

Per day

8h

Measured by

Objectives agreed at the start of each cycle. Hours recorded for compliance are never used as a performance score.

Where this stands legally

Within the 9-hour day and 48-hour week ceiling of the applicable state Shops and Establishments Act, with at least 24 consecutive hours of weekly rest and a break of at least 30 minutes after five hours of continuous work. Hours are recorded for statutory compliance only. Work beyond the scheduled week is agreed in advance and compensated with time off in lieu.

The full per-level model is published at Working Hours by Level.

05 — Hiring process

What to expect after you apply

  1. 01

    Application review

    Every application is read personally within five business days. We respond either way.

  2. 02

    Take-home or live exercise

    Role-specific. Time-boxed. Real problems we are actually working on, not invented puzzles.

  3. 03

    Conversations

    Deep technical and values conversations with the team you would join. No trick questions. No panel ambushes.

  4. 04

    Offer or honest no

    If yes: digital offer letter, signed in-portal, transparent terms. If no: written feedback if you want it.

The standard

What you deliver, and how it is judged

Deliverables

  • Methods with a written convergence and stability result, and an empirical verification of it.
  • Reference implementations other divisions can adopt without reimplementing.
  • Reviews of numerical work carried out elsewhere in the department.
  • Statements of the regime of validity, attached to the method rather than to a memory.

Evaluation criteria

  • Whether the convergence claim is proved or measured, and stated as which.
  • Whether the method's failure modes are characterised.
  • Adoption: does another division actually use it.
  • Willingness to say a colleague's result is not supported by its method.

Preferred, not required

Nothing in this list is a bar to applying.

Partial differential equations: classification, boundary conditions, and standard discretisations.Optimisation: convexity, gradient methods, and the failure modes of each.A second language beyond Python for performance-critical numerics.Experience writing a proof somebody else has checked.Differential geometry or topology beyond a first course.Stochastic differential equations or Monte Carlo theory.Formal verification or interval arithmetic.A published or preprinted mathematical result.

Tools you would work in

NumPy and SciPySymPy or MathematicaSparse and iterative solver librariesOptimisation frameworksLaTeXGit

Reports to: Mathematics & Computational Foundations Lead

Works with: D01, D02, D08, D10, D11, D15

Before you start

What we will collect. What it costs. What we will not do with it.

We will collect

  • Name, email, phone — Account + application updates. No marketing.
  • Resume / portfolio link — Human review of your work.
  • Date + place of birth — Identity verification only.
  • Your written responses — Selection rubric. Read by humans.
  • Government ID (later) — Anti-fraud at offer / interview stage. Not at signup.

We will never

  • Sell your data
  • Share with third-party recruiters
  • Use for advertising
  • Train models on it
  • Send marketing email

Our situation

EduRankAI is a small, independent organization building long-term capabilities in educational intelligence, advanced AI systems, and research infrastructure. We take no advertiser money, no donations with strings attached, and no investor pressure on hiring decisions. Applying is free, and every application is read by a human — recruitment, technical, academic and leadership teams. It buys us the right to be honest.

Full transparency policy Questions? Email us

Ready to apply?

We read every application personally. If you are the right person for this role — regardless of pedigree, background, or where you are based — you will hear back from us within five business days.

Apply through this page. You will be asked for your education, your experience, and links to work we can actually read — a repository, a write-up, a thesis chapter, a preprint. Send the piece of work you would defend, not the one with the best title. If a result in it turned out to be wrong, say so; we would rather read that than not know. Every application is read by a person. We assess applications on evidence of the work. We do not filter on institution, on age, on gender, on caste, on religion, on disability, or on where you are from. If any part of this process is inaccessible to you, tell us and we will change it for you.

Mid Full-Time

Mathematical Physicist

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