Level up your skills.
Solve a real problem.
Win up to $3,000.

A training programme and competition hosted on Reineur. You learn how to use Reineur Solver in a structured training. Then you use it to solve a challenge for a share of $6,000 in prizes.

Check eligibility
Reineur Solver code and mathematical plot

About the hackathon

What to expect.

A curated programme to give you hands-on experience in using Reineur Solver, a mathematical and computational modelling library designed for solving real world challenges. The Hackathon will hold in two parts:

01

The Training Programme

A deep dive into how Reineur Solver works, from its core methods to its application.

02

Hands-on Challenge

You'll apply what you have learned to build a working model with a chance at winning the $3,000 prize.

Reineur Solver capabilities

Why take part

Real tools. Real problems. Real stakes.

Build skills that go beyond the competition.

Hands-on with a robust mathematical library

Work directly with Reineur Solver's modeling tools.

Build a portfolio project

Leave with a model you can show employers and collaborators.

Learn from feedback

Get your work reviewed by experts.

Compete for prizes

Over $6,000 will be awarded to the top three winners.

Get Started

Prizes

$6,000 for the top
three solutions.

Cash prizes go to the three highest-scoring submissions, as ranked by the judging panel.

2nd prize2

$2,000

USD · second place

1st prize

$3,000

USD · highest-scoring solution

3rd prize3

$1,000

USD · third place

Who can join

You're a good fit if you have...

Academic & Discipline Domains

  • Study or work in petroleum, chemical, mechanical, civil, or electrical engineering.
  • A background in applied mathematics, computational physics, or operations research.
  • Interested in scientific computing, numerical simulations, algorithm optimization, or building digital twins.

Foundational Mathematical Competence

  • Familiarity with matrix operations, eigenvalues/eigenvectors, linear and non-linear systems of equations, and interpolation.
  • Comfort with ordinary differential equations (ODEs), partial differential equations (PDEs), and numerical integration/differentiation.
  • Basic exposure to unconstrained/constrained optimization routines, curve fitting, regression, and uncertainty quantification.

Technical & Programming Skills

  • Solid understanding of core syntax, variables and data structures.
  • Comfortable with algorithmic logic.

A Problem-Solving Profile

  • Experience with building models that run real physical or domain workflows into computational equations.
  • Enjoys debugging solver convergence and parameter sensitivity issues.

Not sure you qualify? Register anyway and see.

Timeline

Key dates

Registration is open now. We will publish the other dates here when they are confirmed. Registered participants also get them by email.

  1. Registration opens

    Sign up on Reineur.

  2. Registration deadline

  3. Training begins

    Hosted on Reineur.

  4. Training ends

  5. Competition brief released

  6. Submission deadline

  7. Judging

  8. Results announced

FAQ

Frequently asked questions.

Have more questions?

Send us your question and we'll get back to you.

Join the hackathon

Build something that solves a real problem.

Learn how to turn physical systems into working models, use that knowledge to solve challenges and stand the chance to win over $3,000+ in prizes.