At a Glance
- Tasks: Join a cutting-edge project using AI for Autonomous Vehicles and collaborate with top researchers.
- Company: Be part of a leading research group at Queen's University Belfast.
- Benefits: Gain hands-on experience, publish in top journals, and develop your professional skills.
- Other info: Opportunity for career growth and collaboration with industry leaders.
- Why this job: Make a real impact in the future of technology and autonomous driving.
- Qualifications: PhD in AI, Software Engineering, or Autonomous Vehicles; strong publication record required.
The predicted salary is between 30600 - 37400 £ per year.
We aim to appoint a highly motivated postdoctoral research fellow to primarily contribute to a Horizon Europe project focusing on the use of Artificial Intelligence for Software Engineering for Highly Automated/Autonomous Driving Systems, also known as Autonomous Vehicles, as well as other relevant research activities within our research group, Connected and Cooperative Autonomous Systems. The successful applicant will become a key member of a well-established and highly experienced team of researchers and academics working collaboratively with our industry and international collaborators, including major European Companies in the Automotive, ICT, and Software Engineering Sectors.
Therefore, the appointee will have a unique opportunity to develop their professional skills and build strong collaborations within the industry and academia. QUB also hosts some of the most advanced AI computing and Autonomous Vehicle Research Facilities, which will provide an unparalleled opportunity for hands-on experience with real-world systems. The appointee will be expected to publish research results in top international journals and conferences that are actively relevant to the field, as well as develop software for QUB's Autonomous Vehicle Research Platform. This will involve collaborating with our team of established academics, early-career researchers, research engineers, and international collaborators. The appointee will be required to travel periodically to participate in relevant project meetings and attend international conferences. While the post is initially for 12 months there is a possibility of extension.
Essential criteria:
- A PhD with relevant research in one of the following areas: Artificial Intelligence, Software Engineering, or Autonomous Vehicles. We also welcome applicants who have submitted their thesis, passed their viva voce exams, and are awaiting the formal award of their PhD.
- Research background and interest in one of the following areas: AI, Software Engineering, Autonomous Vehicles.
- Evidence of publication in top international journals and conferences.
- Experience in software development for real-world applications or simulation.
- Practical problem solving skills, independence of thought and initiative.
- Ability to communicate complex information in English effectively in oral and written formats.
- Ability to build relationships to develop internal and external networks.
- Ability and desire to work in a team with minimal supervision.
To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information document on our website.
Research Fellow in AI for Software Engineering in Belfast employer: Queens University
As a Principal Engineer at Momentum One Zero, you will be part of a dynamic and innovative team dedicated to pushing the boundaries of ML/AI engineering in exciting fields like digital health and agri-food. Our collaborative work culture fosters creativity and professional growth, offering ample opportunities for skill development and career advancement in a supportive environment. Located in a vibrant area, we provide a unique chance to engage with industry partners while contributing to impactful projects that make a real difference.
StudySmarter Expert Advice🤫
We think this is how you could land Research Fellow in AI for Software Engineering in Belfast
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Queens University or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Queens University.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Queens University.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Queens University that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Research Fellow in AI for Software Engineering in Belfast
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Queens University.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Queens University and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Queens University
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Queens University uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
