We offer a role with responsibility, independence, and the possibility to contribute proactive. We foster a teamwork culture with room for individual development.

About the role / Segment

Strategy & Innovation group of Siemens Industry Software NV in Leuven, Belgium is looking for a PhD candidate to join a three-year research training within the EU-funded MCSA doctoral network IN-DEEP. You will be hosted at Siemens in Leuven and be enrolled in the PhD program at KU Leuven.

As a doctoral candidate within the IN-DEEP project you will be at the forefront of developing new hybrid machine learning (ML) accelerated solvers.

A fast-expanding area of research is the application of ML techniques to predict physical phenomena (fluid flow, solid deformation, etc.). In this domain, one of the most promising approaches is to not try to replace completely traditional numerical methods with ML algorithm but instead use those to enhance part of the solver when it is relevant.

In that vein, your work will be focused on designing novel hybrid algorithms combining classical numerical methods with deep learning approaches aimed at accelerating the solver and/or increasing accuracy, as well as coming up with training strategies for those algorithms.

International mobility

As a PhD candidate, you will be employed for 36 months by Siemens in Leuven, Belgium. During this period, you will also undertake placements at AGH, Poland and at BCAM, Spain.

Requirements

Specific Eligibility Criteria on the Horizon Europe Marie Skłodowska-Curie (MSCA) program apply, including the mobility rule and PhD rules. In particular you must not have resided or carried out your main activity (work, studies, etc...) in Belgium for more than 12 months in the 3 years immediately prior to your recruitment under the IN-DEEP project and be - at the date of recruitment - a doctoral candidate (i.e. not already in possession of a doctoral degree). Applicants of any nationality are welcome.

Your qualifications

Required Qualifications:

• A Master's degree in Applied Mathematics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related field.

• Strong background in numerical methods (e.g. finite differences, finite elements or finite volumes methods), modelling, and simulation.

• Experience with programming languages such as Python, C++or MATLAB

• Excellent analytical and problem-solving skills.

• Ability to work independently as well as in a team.

• Good communication and interpersonal skills.

• Strong motivation to conduct research and publish results in high-quality scientific journals.

• Fluency in English (both written and spoken).

Preferred Qualifications:

• Experience with Machine Learning

• Familiarity with Deep learning framework such as Pytorch/Tensorflow/Jax/...

• Publications in relevant scientific journals or conferences.

Offer

The DC will be hosted in the Research Department of SISW in Leuven, Belgium, and registered as a doctoral candidate in KU Leuven. The successful candidate will benefit from an innovation-driven industrial environment. Personalized career development plans will be established to support the needs of the PhD candidate.

The DC will receive an attractive salary in accordance with the MSCA regulations. The financial package will include: 1) Living allowance yearly gross budget: 40.800€/year (country correction coefficient applies) (Includes salary, employers' cost and different benefits), 2) Mobility allowance of €600, 3) Family allowance (€660), if applicable. The exact (net) salary will be confirmed upon appointment and is dependent on local tax, social and health insurance regulations, and the country correction factor.

Start time: before and up to January 2025

Working at Siemens Software

Why us?

Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer phenomenal benefits and rewards, as you'd expect from a world leader in industrial software.

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

If you want to make a difference - make it with us!

#LI-LC1

#LI-PLM

#LI-Onsite