Physics AI Deep Learning Researcher (Hybrid Role) in Swindon

Physics AI Deep Learning Researcher (Hybrid Role) in Swindon

Swindon Full-Time 54000 - 66000 £ / year (est.) Home office (partial)
Siemens Digital Industries Software

At a Glance

  • Tasks: Develop and test innovative deep learning methods for real-world engineering challenges.
  • Company: Siemens Digital Industries Software, a leader in industrial design technology.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment focused on advancing technology in various engineering sectors.
  • Why this job: Join a cutting-edge team and make a significant impact in AI and engineering.
  • Qualifications: Master’s or PhD in a technical field with strong deep learning expertise.

The predicted salary is between 54000 - 66000 £ per year.

Siemens Digital Industries Software seeks a Deep Learning Researcher for the PhysicsAI Team to advance surrogate modelling and generative AI for industrial design problems. You will develop novel DL methods, test them on mechanical, aerospace, and civil engineering challenges, and push successful approaches toward production integration in Simcenter PhysicsAI.

Requirements include:

  • Master’s or PhD in a technical field
  • Strong DL theory
  • Experience with transformers/diffusion/GNNs

Physics AI Deep Learning Researcher (Hybrid Role) in Swindon employer: Siemens Digital Industries Software

Siemens Digital Industries Software is an exceptional employer, offering a dynamic and flexible work environment that fosters innovation and collaboration. With a strong focus on employee growth, you will have access to mentorship opportunities and a competitive compensation package that includes comprehensive health and wellness benefits, making it an ideal place for those looking to thrive in the manufacturing software sales sector.

Siemens Digital Industries Software

Contact Details:

Siemens Digital Industries Software Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Physics AI Deep Learning Researcher (Hybrid Role) in Swindon

Get Involved in Data Science Meetups

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Apply Directly through Our Website

When you find a suitable opening like Physics AI Deep Learning Researcher (Hybrid Role) at Siemens Digital Industries Software, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Physics AI Deep Learning Researcher (Hybrid Role) in Swindon

Deep Learning Theory
Transformers
Diffusion Models
Graph Neural Networks (GNNs)
Surrogate Modelling
Generative AI
Mechanical Engineering Knowledge

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at Siemens Digital Industries Software, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Siemens Digital Industries Software. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Siemens Digital Industries Software

Brush Up on Your Statistics

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Get Comfortable with Python and R

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Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.