At a Glance
- Tasks: Assist in groundbreaking research and data analysis with top faculty at London Business School.
- Company: Join the prestigious London Business School and immerse yourself in a vibrant academic community.
- Benefits: Competitive salary, mentoring opportunities, and access to PhD courses and workshops.
- Other info: Encouraging diverse applicants, especially women and ethnic minorities, to enrich our faculty.
- Why this job: Kickstart your academic career while making a positive impact through data-driven research.
- Qualifications: Undergraduate degree in relevant fields and programming skills in Python, R, or similar.
The predicted salary is between 43250 - 43250 € per year.
Job type: Full-time
Start date: Academic year 2026/2027
Duration: Fixed term contract up to two years
Salary: £43,250 pa inc., according to qualification and experience
Location: London Business School, Regent’s Park, London NW1 4SA
What does the Pre-Doctoral Research Assistant programme involve?
The programme offers a unique educational opportunity for high-potential individuals to come to London Business School to participate in the intellectual life of the school. The role provides an ideal transition for recent graduates who are interested in going on to a top business school PhD programme in Management Science and Operations.
Successful candidates will work closely with leading faculty, learn to provide research assistance, e.g., in the form of data collection and analysis, and will receive mentoring from the faculty with whom they are working. They will be able to take one PhD course per term, attend workshops and seminars, and access a rich intellectual and cultural campus life. They will benefit from the resources of the MSO community, which includes interactions with faculty and PhD students, and mentoring opportunities, among others.
Qualifications
Applicants should have at least an undergraduate degree in data science, computer science, math, statistics, economics, operations research, industrial engineering, or a related field. Previous experience in a similar role - even as an undergraduate is an advantage. Knowledge and experience of programming, for example, Python, R, Stata, or MATLAB, is essential.
We strongly encourage applications from candidates interested in analytical or data driven research for social good, who wish to pursue a Ph.D. after a pre-doctoral research experience. The position provides excellent preparation for high-level doctoral studies.
Application Instructions
London Business School is an equal opportunities employer and as such we particularly welcome applications from women, black, and other ethnic minority candidates, who are under-represented in our faculty.
Pre-doctoral Research Assistant in Management Science and Operations employer: The PhD Project
London Business School is an exceptional employer, offering a vibrant and intellectually stimulating environment in the heart of Regent’s Park, London. As a Pre-doctoral Research Assistant, you will benefit from close collaboration with esteemed faculty, access to valuable mentoring, and opportunities for professional growth through workshops and seminars. The school's commitment to diversity and inclusion ensures a supportive culture that values contributions from all backgrounds, making it an ideal place for aspiring researchers to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Pre-doctoral Research Assistant in Management Science and Operations
✨Tip Number 1
Network like a pro! Reach out to current or former Pre-doctoral Research Assistants and faculty at London Business School. They can give you insider tips and might even put in a good word for you.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects or any relevant research you've done. This will help you stand out during interviews and demonstrate your capabilities.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors. Focus on articulating your passion for research and how your background aligns with the role. Confidence is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Pre-doctoral Research Assistant in Management Science and Operations
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in data science, programming, and any research roles you've had. We want to see how your background aligns with the Pre-doctoral Research Assistant role, so don’t hold back on showcasing your skills!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about Management Science and Operations, and how this role fits into your academic journey. We love seeing genuine enthusiasm for research and social good.
Showcase Your Technical Skills:Since programming knowledge is essential, make sure to mention your experience with Python, R, Stata, or MATLAB. We’re keen to see how you’ve applied these skills in past projects or coursework, so be specific!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way to ensure your application gets to us directly. Plus, it shows you’re serious about joining our community at London Business School!
How to prepare for a job interview at The PhD Project
✨Know Your Research
Before the interview, dive deep into the research areas of the faculty you'll be working with. Familiarise yourself with their recent publications and ongoing projects. This shows genuine interest and helps you ask insightful questions during the interview.
✨Showcase Your Skills
Be ready to discuss your programming experience in detail. Whether it's Python, R, or MATLAB, prepare examples of how you've used these skills in past projects or coursework. Highlight any data analysis work you've done that relates to management science or operations.
✨Express Your Passion for Social Good
Since the role encourages analytical research for social good, share your motivations for pursuing this path. Discuss any relevant projects or experiences that demonstrate your commitment to using data for positive impact.
✨Prepare Thoughtful Questions
Interviews are a two-way street! Prepare questions that reflect your interest in the programme and the faculty's work. Ask about mentorship opportunities, the types of projects you might work on, or how the role can help you transition to a PhD programme.
