At a Glance
- Tasks: Research and prototype AI applications for innovative software solutions.
- Company: Join a forward-thinking tech company in Nottingham with a collaborative spirit.
- Benefits: Enjoy flexible hours, enhanced leave, healthcare, and a great pension scheme.
- Other info: Dynamic role with opportunities for research, training, and professional growth.
- Why this job: Make a real impact in AI and machine learning while advancing your career.
- Qualifications: Master’s degree in a numerical science; analytical skills and teamwork are key.
The predicted salary is between 35000 - 45000 € per year.
Department: Research and Development Team
Location: Nottingham, UK – The role will be based at SMT’s Head Office in Nottingham.
In This Role You Will:
- Research and prototype applications to SMT’s MASTA software and internal processes with a focus on Artificial Intelligence and Machine Learning methodologies.
- Research potential new areas and methods for CAE simulation for drivelines (or beyond) via some of the technical skills below:
- Writing python code that interfaces with MASTA via its API
- Implementing new functionality into MASTA directly
- Data collection and analysis
- Using some or all SMT’s MASTA software.
- Using commercial CAE & CAD software.
- Research new Engineering methods, procedures, and workflow efficiencies.
- Provide sales and marketing support via technical case studies, attending conferences, and publishing of academic papers.
- Support the testing of new SMT software functionalities.
- Help SMT’s software products technical support team to disseminate knowledge to customers, including attending and providing resources for client technical training sessions (virtual or in person at SMT UK or client sites).
- Provide technical support and resources for client Engineering projects.
What You’ll Need To Succeed:
- Master’s Degree in a numerical science (strong 2:1 or higher) with strong analytical skills. (PhD desirable but not essential)
- Be a conscientious team player with the ability to foster good working relationships.
- Be self‑motivated and able to drive own research projects.
- Attention to detail to ensure accuracy and thoroughness in your work.
- Good presentation skills to clearly communicate your work (training and guidance will be provided).
- Experience using machine or deep learning Python libraries such as Scikit-Learn, PyTorch, TensorFlow, Keras is desirable.
- Experience with 3D geometry/mesh generation, optimisation, graph neural networks, or geometric deep learning is desirable.
- Experience with C# and .NET is desirable but not essential.
- Experience with commercial CAE software would be beneficial but not essential.
Benefits:
- Company benefits include flexible working hours, enhanced annual leave allowance, cycle to work schemes, healthcare scheme, Employee Assistance Programme, retail discounts, and an enhanced Company pension scheme.
SMT is committed to equal opportunities for all.
Research Engineer – AI Specialist in Nottingham employer: SMT
SMT is an exceptional employer located in Nottingham, offering a dynamic work culture that fosters innovation and collaboration within the Research and Development Team. Employees benefit from flexible working hours, enhanced annual leave, and a comprehensive healthcare scheme, alongside opportunities for professional growth through engaging projects in AI and Machine Learning. With a commitment to equal opportunities and a supportive environment, SMT stands out as a rewarding place for those seeking meaningful employment in cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer – AI Specialist in Nottingham
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend relevant meetups or conferences, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and machine learning. This is your chance to demonstrate what you can do beyond just a CV – make it visually appealing and easy to navigate.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to AI and engineering, and be ready to discuss your past projects in detail. We want to see your passion and expertise shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Research Engineer – AI Specialist in Nottingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant experience and skills that match the Research Engineer – AI Specialist role. We want to see how your background in AI and machine learning fits with what we do at StudySmarter.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our team. We love seeing enthusiasm and a bit of personality, so don’t hold back!
Showcase Your Projects:If you've worked on any cool projects related to AI or machine learning, make sure to mention them! We’re keen to see your practical experience, especially if it involves Python or CAE software.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at SMT
✨Know Your Stuff
Make sure you brush up on your knowledge of AI and machine learning methodologies. Familiarise yourself with Python libraries like Scikit-Learn and TensorFlow, as well as the MASTA software. Being able to discuss specific projects or applications you've worked on will show your expertise.
✨Showcase Your Research Skills
Prepare to talk about your previous research projects and how they relate to the role. Highlight any innovative methods or findings, especially those that could apply to CAE simulation. This will demonstrate your ability to drive your own research projects.
✨Be a Team Player
Since this role involves collaboration, be ready to discuss how you've successfully worked in teams before. Share examples of how you've fostered good working relationships and contributed to group projects, as this will resonate well with their team-oriented culture.
✨Practice Your Presentation Skills
Given the importance of clear communication in this role, practice explaining complex concepts in simple terms. You might even want to prepare a mini-presentation on a relevant topic to showcase your ability to convey technical information effectively.
