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Summer Intern (Machine Learning) - SPSE

🏒 Siemens Digital Industries Software βœ“ Verified Direct Employer
πŸ“ London, England ⚑ Direct Opportunity πŸ•’ Today
Work Model
πŸ“ London, England
Employment
πŸ’Ό Full-Time Direct
Recruitment Type
πŸ›‘οΈ Direct to HR Pipeline
πŸ›‘οΈ
Verified Direct Employer Opening: You are submitting directly to Siemens Digital Industries Software's recruitment pipeline with zero intermediary fees.

Role Overview & Responsibilities

About us

Siemens Digital Industries Software - Where today meets tomorrow.

Let's make the difference together!

Meet the team - Video

Siemens Process Systems Engineering (SPSE), part of Siemens Digital Industries, is the leading provider of Advanced Process Modelling software, services and solutions to the process industries. We help our customers to develop and operate sustainable processes by applying digital twins based on our gPROMS platform technology. This enables them to explore the process decision space rapidly, reduce uncertainty and risk and make better, faster and safer design and operating decisions through deeper understanding of their processes.

Currently employing about 280+ employees worldwide, SPSE has a well-established reputation for thought leadership and technology innovation, achieved through substantial R&D spanning more than two decades. Following its recent acquisition by Siemens, the company is now embarking on a major further expansion of its products and related business development activities.

We offer a role with responsibility, independence, flexibility and to contribute to new ideas. We foster a teamwork culture with great opportunities for personal and professional development to grow your career.

Please visit https://new.siemens.com/global/en/products/automation/industry-software/gproms-digital-process-design-and-operations.html

The Internship

The successful intern will work within gPROMS Core Platform development team of over 50 software developers and mathematicians. The position is based in our Hammersmith office, West London where they will be expected to follow a Hybrid Working Policy of at least two days per week in the office.

The intern will be tasked with investigating, prototyping and testing machine learning techniques for the generation of surrogate models for dynamical systems described by complex physics-based models. A set of tasks and deliverables will be defined and prioritised, with the lower priority goals being considered as stretch goals for the project.

The internship will run for 12-14 weeks during the summer of 2023.

Requirements

  • At least 3 years of undergraduate-level studies in Mathematics or Computer Science
  • 3 A-levels with AAA grades or higher, at least one in Mathematics

•Proficiency in Python or C+•Excellent problem solving skills

  • Good communication skills
  • A willingness to learn independently, and from those around you
  • Ability to work effectively in a team and on your own
  • A desire to learn new skills

Working at Siemens Software

Why us?

Working at Siemens means great work life balance and flexibility – whether that is full time in the office, hybrid or fully remote. We are always challenging ourselves to build a better future. We look for the most innovative and diverse Digital Minds to develop tomorrow’s reality and provide all the comfort and benefits employees need to achieve those goals.

Siemens Industry Software is an equal opportunities employer and does not discriminate unlawfully on the grounds of age, disability, gender assignment, marriage, and civil partnership, pregnancy and maternity, race, religion or belief, sex, sexual orientation, or trade union membership.

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Job Family: Internal Services

Req ID: 372248

Frequently Asked Questions

How do I apply for the Summer Intern (Machine Learning) - SPSE position at Siemens Digital Industries Software?

Click the “Apply for this Position” button on this page to submit your application directly to Siemens Digital Industries Software's HR pipeline without recruitment agency markups.

Is this role eligible for remote work or international relocation?

This position is based in London, England with potential relocation and visa sponsorship considerations for qualified candidates.

Are there any fees to apply through Jobflixs?

No. Jobflixs is 100% free for all job applicants. We strictly prohibit recruitment fees or candidate placement charges.

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