At a Glance
- Tasks: Conduct innovative research in statistics and machine learning, both independently and collaboratively.
- Company: Join the prestigious Department of Statistics at the London School of Economics.
- Benefits: Competitive salary, hybrid working, generous leave, and excellent training opportunities.
- Other info: Dynamic environment with opportunities for career progression and collaboration.
- Why this job: Make a real impact on cutting-edge research addressing social, economic, and health challenges.
- Qualifications: PhD in statistics or machine learning, with strong analytical and programming skills.
The predicted salary is between 43277 - 51714 £ per year.
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- Department of Statistics, London School of Economics – Research Officer (Ne ST project)
- Company Name Department of Statistics, London School of Economics
- Position Title Research Officer (Ne ST project)
- Company Information
A founder department of the globally renowned London School of Economics, the Department of Statistics is home to internationally respected experts with cutting- edge specialisms in AI, data science, probability in finance and insurance, social statistics, time series and statistical learning, and more.
We produce cutting-edge research in developing new statistical and data science methods and their theoretical foundations, and apply these to new forms of social, economic and health data, addressing real-world challenges.
Duties and Responsibilities
- Conducting research projects or programmes either independently or in a team.
- Demonstrating the ability to analyse and research complex ideas, concepts or theories and applying appropriate methodologies.
- Designing and conducting numerical work with both simulated and real data.
- Contributing to the formulation of peer reviewed research grant proposals.
- Writing up research for publication in a variety of modes including peer reviewed journals.
- Initiating and sustaining links with external bodies to foster collaboration.
- Presenting research papers at conferences.
- Organising conferences, seminars and workshops.
- Contributing creative solutions to research challenges.
- Position Qualifications
Candidates should have
- a Ph D in statistics or machine learning or expect to submit their Ph D within 6 months of the post start date;
- a solid background in mathematical statistics or machine learning theory;
- excellent research achievement or potential for such achievement in high-dimensional statistics inference and theory;
- an ability to conduct complex simulation and real data analysis; and advanced programming skills.
Salary Range from £43,277 to £51,714 pa inclusive with potential to progress to £55,497 pa inclusive of London allowance
We offer an occupational pension scheme, generous annual leave, hybrid working, and excellent training and development opportunities.
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Research Officer (NeST project) in London employer: Statistics Interest Group
The London School of Economics is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration in the field of statistics and machine learning. With competitive salaries, generous pension schemes, and robust training opportunities, employees are encouraged to grow and excel in their careers while enjoying the vibrant culture of London.
StudySmarter Expert Advice🤫
We think this is how you could land Research Officer (NeST project) in London
✨Get Involved in Research Communities
Dive headfirst into the scientific research world by joining relevant communities and forums. Engage in discussions, share your insights, and even attend conferences or seminars in your field. This not only boosts your visibility but can also lead to potential job opportunities—don't forget to connect with like-minded folks!
✨Show Off Your Research Projects
Have you worked on any cool research projects? Make it easy for potential employers to see your work by creating a portfolio or a personal website. This way, when you apply for roles like the one at Statistics Interest Group, you can point them to your projects and publications, showcasing your expertise directly.
✨Utilise Professional Networks
Networking is key in scientific research. Join professional bodies or organisations related to your field. They often have job boards and resources tailored for job seekers. Make connections with professionals who may know about openings or can give you tips on landing a full-time position.
✨Keep Your Eyes on Openings & Apply Directly
Don’t just rely on job boards! Keep an eye on the careers section of the websites of companies like Statistics Interest Group. Apply directly through their website because sometimes they post jobs there before anywhere else. Plus, it shows your proactive approach!
We think you need these skills to ace Research Officer (NeST project) in London
Some tips for your application 🫡
Highlight Your Research Experience:When applying for a full-time role in scientific research, make sure to emphasise your research experience prominently in your CV. Share specific projects you’ve worked on, the methodologies you used, and any significant findings. If you’ve published papers or presented at conferences, definitely include that too – it shows you’re on it in the academic world!
Tailor Your Cover Letter to the Research Area:Your cover letter should reflect your passion for the specific area of research at Statistics Interest Group. Mention relevant experiences that align with the organisation’s goals or projects. This shows that you’ve done your homework and are genuinely interested in the position – plus, it helps us see how you’d fit into the team dynamics.
Showcase Your Data Analysis Skills:In scientific research, data analysis skills are a big deal! Make sure to detail any relevant analytical tools or software you’re familiar with, like R, Python, or statistical packages. Employers are keen to know you can handle the data-heavy elements of the role, so add specific examples where you’ve used these skills effectively.
Discuss Your Future Research Goals:In your motivation section, it’s a great idea to talk about your future research goals and how they align with the work being done at Statistics Interest Group. This shows that you’re not just looking for any job, but rather a chance to contribute meaningfully to the field. We love to see applicants who are forward-thinking and enthusiastic about their research journey!
How to prepare for a job interview at Statistics Interest Group
✨Showcase Your Research Skills
In scientific research, it’s crucial to demonstrate your ability to design and conduct experiments. Come armed with examples of past projects where you've developed hypotheses, collected data, and analysed results. Be ready to discuss any specific methodologies or tools you’ve used, like PCR techniques or statistical software.
✨Prepare for Technical Questions
Expect some technical questions specific to your field. Make sure you're up to speed with recent advancements in scientific research related to the role at Statistics Interest Group. Brush up on concepts relevant to their projects and be prepared to discuss how you would approach a specific research problem or challenge they might face.
✨Know Your Publications
If you've authored or co-authored any papers, be prepared to discuss them! Highlighting your contributions to published research can really set you apart. It shows not only your expertise but also your ability to communicate complex ideas clearly, which is key in scientific research roles.
✨Exhibit Your Team Spirit
In full-time roles, collaboration is often at the heart of scientific research. Prepare examples that show how you've successfully worked in teams, dealt with conflicts, or contributed to group projects. We want to know how you can work effectively with the team at Statistics Interest Group to drive research projects forward.
