Advanced Development/Research Munich 11.03.2024

Intern Quantum Computing (f/m/x)

NO NEED TO PREDICT THE FUTURE. YOU CAN CREATE IT. 

SHARE YOUR PASSION.

World-leading technologies don’t make it into a BMW until they’ve undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road. That’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do.

Description

We, the BMW Group, offer you an interesting and varied working student occupation in the area of Quantum Computing. Numerical simulation of physical processes (Aerodynamics, crashworthiness, heat transfer in batteries and engines, to name a few) is at the core of BMW Group’s activities. Modern state-of-the-art industrial solutions represents a compromise between numerical accuracy and computational cost, thus, increasing the number of physical tests in production. Rapid and predictive numerical simulation will allow to reduce the number of physical prototypes for more optimal, safe, and sustainable production. The goal of the project is to explore Variational Quantum Algorithms for solving transient Partial Differential Equations in application to Aerodynamics modeling. Future candidate (f/m/x) will compare and benchmark the conventional classical methods based on Finite Element Discretization and Physics-Informed Neural Networks (PINNs) with the Quantum-enhanced solution, developed by BMW Group engineers in collaboration with Pasqal, CERFACS and FAU. The new solver represents the Quantum counterpart of PINNs (Q-PINNs) which allows for continuous representation of functions and their derivatives thanks to the Differentiable Quantum Circuit, and for efficient search of optimal Aerodynamics design.

 

What awaits you?

  • Understanding the challenges of industrial numerical simulations and state-of-the-art solutions.
  • Learning the specifics of different classical and quantum deterministic and variational approaches, access to the solvers.
  • Application of available classical and quantum solutions to 2D-3D toy and realistic examples for analysis and benchmarking.
  • Executing the numerical experiments on classical HPC, Quantum emulators and hardware.
  • Experiencing the research environment in a big corporate in the team of young and talented scientists and engineers.

 

What you should bring along?

  • Proficient user of Python, experience with HPC is appreciated.
  • Understanding of Quantum Information Theory and applications, coding experience on quantum platforms and quantum algorithms development is appreciated.
  • Background in Physics, Fluid Mechanics, knowledge of Numerical Analysis and Machine Learning is appreciated.
  • Strong Programming skills.
  • Curiosity and persistence.

 

What do we offer?

  • Comprehensive mentoring & onboarding.
  • Personal & professional development.
  • Work-Life-Balance & flexible working hours.
  • Mobile work.
  • Attractive remuneration.
  • Apartment offers for employees (subject to availability & only Munich).
  • And many other benefits - see jobs/benefits

 

You are enthused by new technologies and an innovative environment? Apply now!

 

At the BMW Group, we see diversity and inclusion in all its dimensions as a strength for our teams. Equal opportunities are a particular concern for us, and the equal treatment of applicants and employees is a fundamental principle of our corporate policy. That is why our recruiting decisions are also based on personality, experience and skills.

Find out more about diversity at the BMW Group at bmwgroup.jobs/diversity
 

Earliest starting date: from05/01/2024

Duration: 6 months

Working hours: Full-time


Contact:
BMW Group HR Team
+49 89 382-17001

Intern Quantum Computing (f/m/x)
20240311
Automotive
Munich
Germany
Legal Entity:
BMW AG
BMW Group
Location:
Munich
Job Field:
Advanced Development/Research
Job Id:
122938
Publication Date:
11.03.2024
FullTime
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