Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Support PhD students in developing high-quality AI/ML software and deliver engaging training sessions.
- Company: Join a leading university research group dedicated to innovation and collaboration.
- Benefits: 12-month position with potential extension, fostering a supportive learning environment.
- Why this job: Make a real impact in AI/ML while enhancing your skills and knowledge.
- Qualifications: Strong Python skills and familiarity with ML frameworks like PyTorch or TensorFlow.
- Other info: Collaborative culture focused on personal and professional development.
The predicted salary is between 36000 - 60000 £ per year.
A university research group is seeking a Senior Research Software Engineer to support PhD students in software development within the UKRI Centre for Doctoral Training. The role involves sharing expertise, enhancing software quality, and delivering training sessions.
Ideal candidates will have:
- Strong Python skills
- Familiarity with ML frameworks like PyTorch or Tensorflow
- Excellent communication abilities
This is a 12-month position with potential for extension, offering a collaborative environment focused on learning and development.
Senior RSE: Build Reproducible AI/ML HPC Software in Southampton employer: Cyber Security Academy Southampton
Contact Detail:
Cyber Security Academy Southampton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior RSE: Build Reproducible AI/ML HPC Software in Southampton
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML community, especially those who might know about opportunities in research software engineering. A friendly chat can sometimes lead to job openings that aren't even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and any work with ML frameworks like PyTorch or TensorFlow. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Since this role involves training and supporting PhD students, being able to explain complex concepts clearly is key. Practice explaining your past projects in simple terms!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our collaborative environment. It shows initiative and helps us get to know you better!
We think you need these skills to ace Senior RSE: Build Reproducible AI/ML HPC Software in Southampton
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your strong Python skills in your application. We want to see how you've used Python in past projects, especially in AI/ML contexts. Don't hold back on sharing specific examples!
Familiarity with ML Frameworks: If you've worked with ML frameworks like PyTorch or TensorFlow, let us know! Mention any projects where you’ve applied these tools, as it shows you're ready to hit the ground running in our collaborative environment.
Communication is Key: Since this role involves training PhD students, excellent communication skills are a must. Share experiences where you've successfully communicated complex ideas or led training sessions. We love seeing how you connect with others!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep everything organised and ensures your application gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Cyber Security Academy Southampton
✨Showcase Your Python Prowess
Make sure to brush up on your Python skills before the interview. Be ready to discuss specific projects where you've used Python, especially in the context of AI/ML. Highlight any libraries or frameworks you've worked with, and be prepared to solve a coding challenge on the spot.
✨Familiarise Yourself with ML Frameworks
Since the role requires knowledge of ML frameworks like PyTorch or TensorFlow, take some time to review your experience with these tools. Be ready to explain how you've implemented them in past projects and discuss any challenges you faced and how you overcame them.
✨Prepare for Communication Scenarios
Excellent communication is key in this role, so think about examples where you've successfully shared your expertise or delivered training sessions. Prepare to discuss how you adapt your communication style to different audiences, whether they are PhD students or fellow researchers.
✨Emphasise Collaboration and Learning
This position is all about collaboration and development, so come prepared with examples of how you've worked in teams and contributed to a learning environment. Discuss any mentoring or support you've provided to others, and express your enthusiasm for continuous learning and sharing knowledge.
