At a Glance
- Tasks: Conduct innovative research in statistical methods for detecting anomalies in data streams.
- Company: Lancaster University, part of a collaborative research initiative with top UK universities.
- Benefits: Competitive salary, flexible working arrangements, and a supportive work environment.
- Other info: Inclusive workplace promoting diversity and wellbeing, encouraging applications from all backgrounds.
- Why this job: Join a high-impact research team and contribute to real-world statistical solutions.
- Qualifications: PhD in Statistics or related field, with expertise in anomaly detection and statistical methodologies.
The predicted salary is between 39906 - 46049 £ per year.
General Description – Lancaster University invites applications for a Senior Research Associate position within the Statistical Foundations for Detecting Anomalous Structure in Stream Settings (DASS) Programme, a major £4 million research initiative funded by the Engineering and Physical Sciences Research Council (EPSRC).
This collaborative programme brings together leading researchers from Lancaster University, the University of Bristol, the University of Warwick, and the London School of Economics, alongside a network of industrial and public sector partners.
The DASS Programme focuses on addressing foundational statistical challenges in identifying anomalous structures in modern data streams under constrained environments.
It aims to develop robust methodologies capable of handling real-world complexities, including dependence across multiple streams and evolving data environments.
The successful candidate will contribute to methodological, theoretical, and computational research, working collaboratively across institutions to deliver significant advances in statistical science.
The role offers an integrated research environment designed to ensure that new statistical methods are scalable, efficient, and applicable across academia, industry, and society.
This is a full-time postdoctoral position with an initial duration of two years, with flexibility for part-time or alternative working arrangements considered.
The role provides opportunities to engage in high-impact research, collaborate with leading experts, and contribute to innovative statistical solutions with real-world applications.
Lancaster University offers a supportive and inclusive working environment, with a strong commitment to equality, diversity, and wellbeing.
The institution promotes family-friendly policies and encourages applications from individuals of all backgrounds.
Eligibility Criteria – Applicants should hold, or be close to completing, a Ph D in Statistics or a closely related discipline.
Required Expertise/Skills – Candidates must demonstrate the ability to develop new statistical theory and methods in relevant areas such as anomaly detection, changepoint analysis, non-stationary time series analysis, high-dimensional statistics, statistical-computational trade-offs, or scalable statistical methodologies.
Applicants should also have a proven ability to produce high-quality academic writing suitable for publication, along with strong collaborative and interdisciplinary research skills.
Salary Details – £39,906 to £46,049 per annum.
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Senior Research Associate – DASS Programme in Lancaster employer: RFCSR
At King’s College London, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our interdisciplinary approach not only encourages professional growth through diverse research opportunities but also allows you to make a meaningful impact in the fields of engineering and biomedical research. Located in the vibrant city of London, our institution offers a dynamic environment where creativity thrives and employees are supported in their career development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Research Associate – DASS Programme in Lancaster
✨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 RFCSR, 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 RFCSR. 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 Senior Research Associate – DASS Programme in Lancaster
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 RFCSR. 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 RFCSR. 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 RFCSR
✨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 RFCSR. 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 RFCSR to drive research projects forward.
