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- Tasks: Conduct cutting-edge research on AI causality analysis in healthcare and finance.
- Company: Join Singapore Management University, a vibrant community with a family-like atmosphere.
- Benefits: Enjoy competitive pay, generous professional development, and a great work-life balance.
- Why this job: Make a real impact in AI safety while collaborating with top researchers.
- Qualifications: PhD in Computer Science or related field, with 4 years of AI safety research experience.
- Other info: Be part of an agile team and innovate new solutions in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.
Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.
RESPONSIBILITIES
- The candidate will be responsible for conducting research on application of causality analysis of AI systems.
- Successful candidate will be part of an active research team led by Prof Sun Jun from School of Computing and Information Systems (SCIS), Singapore Management University (SMU).
- Survey existing causality analysis techniques on large language models and their applications.
- Identify applications of LLM causality analysis in the domain of healthcare and finance.
- Conduct an empirical study on the effectiveness of existing approaches for identifying LLM misbehavior in these domains.
- Propose and evaluate new causality analysis techniques for LLMs in these domains.
- Other duties as assigned.
QUALIFICATIONS
- Minimum PhD degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning; with particular focus on AI safety.
- Minimum 4 years of relevant research experience in AI safety.
- Proficiency in programming software/languages such as Python is required.
- Proven track record and professional experience in AI techniques.
- Demonstrated experience and know-how on AI safety issues.
- Excellent working knowledge of LLMs.
- Technical skills in LLM finetuning.
- Ability to break down complex problems and design effective solutions.
- Innovating new approaches and thinking outside the box.
- Applicants with research publications in AI safety area will be advantageous.
- Ability to work cooperatively as part of a small, agile academic research team is essential.
- Self-motivated individual who can work independently and collaboratively with team members.
Research Scientist (contract till 2 November 2026), RISE in London employer: HYPERSCAL SOLUTIONS PTE. LTD.
Contact Detail:
HYPERSCAL SOLUTIONS PTE. LTD. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist (contract till 2 November 2026), RISE in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and research community. Attend events, webinars, or even casual meet-ups. 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 research projects, especially those related to AI safety and causality analysis. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions in your field. Think about how your experience aligns with the responsibilities listed in the job description. Practice explaining your past projects and how they relate to the role at SMU.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the SMU family. Good luck!
We think you need these skills to ace Research Scientist (contract till 2 November 2026), RISE in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in AI safety and relevant research. We want to see how your skills align with the responsibilities of the Research Scientist role, so don’t hold back on showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about causality analysis in AI systems and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love a bit of personality!
Showcase Your Research Experience: Since this role involves a lot of research, make sure to highlight any relevant publications or projects you've worked on. We’re keen to see your track record in AI safety and how you’ve tackled complex problems in the past.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. 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 HYPERSCAL SOLUTIONS PTE. LTD.
✨Know Your Stuff
Make sure you brush up on your knowledge of causality analysis and AI safety. Familiarise yourself with the latest research and techniques in these areas, especially as they relate to large language models. Being able to discuss recent advancements or challenges will show that you're genuinely interested and engaged.
✨Showcase Your Experience
Prepare to talk about your previous research experience, particularly any projects related to AI safety or LLMs. Have specific examples ready that highlight your problem-solving skills and how you've innovated in your past roles. This will help demonstrate your fit for the role and your ability to contribute to the team.
✨Team Player Vibes
Since the role involves working within a small, agile research team, be ready to discuss how you collaborate with others. Share examples of successful teamwork and how you’ve contributed to a positive team dynamic. This will show that you can thrive in their 'family-like' atmosphere.
✨Ask Smart Questions
Prepare thoughtful questions about the research team's current projects or future directions in AI safety. This not only shows your enthusiasm but also helps you gauge if the team and the university's culture align with your values. Plus, it gives you a chance to engage in a meaningful conversation during the interview.
