We offer a role with responsibility, independence, and thepossibility to contribute proactive. We foster a teamwork culture with room forindividual development.

About the role / Segment

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

As a doctoral candidate within the IN-DEEP project you willbe at the forefront of developing new hybrid machine learning (ML) acceleratedsolvers.

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

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

International mobility

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

Requirements

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

Your qualifications

Required Qualifications:

• AMaster's degree in Applied Mathematics, Computer Science, MechanicalEngineering, Electrical Engineering, or a related field.

• Strongbackground in numerical methods (e.g. finite differences, finite elements orfinite volumes methods), modelling, and simulation.

• Experiencewith programming languages such as Python, C++or MATLAB

• Excellentanalytical and problem-solving skills.

• Abilityto work independently as well as in a team.

• Goodcommunication and interpersonal skills.

• Strongmotivation to conduct research and publish results in high-quality scientificjournals.

• Fluencyin English (both written and spoken).

Preferred Qualifications:

• Experiencewith Machine Learning

• Familiaritywith Deep learning framework such as Pytorch/Tensorflow/Jax/...

• Publicationsin relevant scientific journals or conferences.

Offer

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

The DC will receive an attractive salary in accordance withthe MSCA regulations. The financial package will include: 1) Living allowanceyearly gross budget: 40.800€/year (country correction coefficient applies)(Includes salary, employers' cost and different benefits), 2) Mobilityallowance of €600, 3) Family allowance (€660), if applicable. The exact (net)salary will be confirmed upon appointment and is dependent on local tax, socialand 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 - Choosingbetween working at home and the office at other times is the norm here. Weoffer phenomenal benefits and rewards, as you'd expect from a world leader inindustrial software.

We are an equal opportunity employer and value diversity atour company. We do not discriminate based on race, religion, color, nationalorigin, sex, gender, gender expression, sexual orientation, age, maritalstatus, veteran status, or disability status.

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

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