At a Glance
- Tasks: Lead research in Statistics and teach undergraduate and postgraduate students.
- Company: Join King’s College London, a top-ranked global university with a vibrant student community.
- Benefits: Enjoy a full-time role with an indefinite contract and opportunities for professional development.
- Other info: Position based at the iconic Strand Campus in central London.
- Why this job: Make a significant impact in your field while collaborating on innovative research projects.
- Qualifications: PhD in Statistics or related area with proven research expertise required.
The predicted salary is between 36000 - 60000 £ per year.
Lecturer in Statistics - Strand, London, WC2R 2LS
About Us
The Department of Mathematics at King’s College London is one of five departments within the Faculty of Natural, Mathematical & Engineering Sciences. King’s College London is one of the world’s leading universities, currently ranked 31st globally in the QS World University Rankings. Founded in 1829, it is now home to more than 35,000 students from over 150 countries.
The Department of Mathematics is based at the University’s Strand Campus in central London. Its research spans a wide range of areas, from pure to applied mathematics and theoretical physics.
Among the department’s nine research groups is the Statistics Group . The group has collaborations with other faculties and departments such as Pharmacy, Physical Sciences of Life and Biophysics. The group has strong industry links. The group is involved in Net Zero which is a world-leading centre in science and technology research at King’s. Net Zero aims to focus on research for decarbonising our economy and society, and addressing key environmental issues. The group is involved in the Centre for Urban Science and Progress (CUSP) London. CUSP is a collaboration between King’s College London and New York University. It is a multi-disciplinary research centre that brings together researchers, businesses and government agencies, to apply data science and visual analytics to challenges in and for London.
Our group has a wide-ranging expertise that spans from advanced theoretical and methodological Statistics (classical and Bayesian) to diverse applications, allowing for comprehensive research approaches. Our members work on Design of Experiments, Bayesian Statistics with a focus on nonparametric methods, Bayesian Computational Methods, Extreme Value Theory, Biostatistics, Probabilistic machine learning, Medical sciences and engineering applications, Time Series Modelling in Macroeconomics and Finance, Causal Inference, Conformal Prediction, Functional Data Analysis and Applications in linguistics, Forensics, quantitative genetics, healthcare, biosciences, industrial and pharmaceuticals research.
Further particulars of the post can be located below, and further information about the department and the research group can be found here
About the role
Applications are invited for a Lectureship in Statistics in the Department of Mathematics at King’s College London.
Candidates are expected to have a PhD in Statistics, or a closely related area, and research expertise in some area of statistics. They should demonstrate the potential to lead research of high originality, innovation and depth, with the capacity to make a significant long-term impact in their field. A proven ability or clear potential to attract research funding is also desirable.
The successful candidate will be expected to lead a self-directed research programme, which will enhance the Department’s research activity, and to take part in teaching and assessment across its undergraduate and postgraduate programmes. They will be expected to promote the reputation of the Statistics research group through participation in scientific meetings, scholarly engagement, and other externally facing activities.
They will also play an active role in the institutional and intellectual development of the Department and undertake administrative responsibilities at the Departmental, Faculty, and University levels, as required.
This is a full-time position (35 hours per week), and an indefinite contract will be offered.
The position is based at the Strand Campus of King’s College London, with an expected start date within six months of the job offer.
Lecturer in Statistics - Strand, London, WC2R 2LS employer: King’s College London
King’s College London is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration within the Department of Mathematics. Located in the heart of London, employees benefit from access to world-class resources and a diverse community of scholars, while also enjoying opportunities for professional growth through research initiatives and interdisciplinary projects. The university's commitment to addressing global challenges, such as climate change through its Net Zero initiative, ensures that staff can engage in meaningful work that has a lasting impact on society.
StudySmarter Expert Advice🤫
We think this is how you could land Lecturer in Statistics - Strand, London, WC2R 2LS
✨Tip Number 1
Network with current and former staff at King’s College London, especially those in the Department of Mathematics. Engaging with them can provide insights into the department's culture and expectations, which can be invaluable during interviews.
✨Tip Number 2
Familiarise yourself with the ongoing research projects within the Statistics Group. Being able to discuss how your expertise aligns with their current work will demonstrate your genuine interest and potential contributions to the team.
✨Tip Number 3
Prepare to showcase your teaching philosophy and methods. Since the role involves teaching across undergraduate and postgraduate programmes, having a clear and engaging approach to teaching statistics will set you apart from other candidates.
✨Tip Number 4
Highlight any previous experience in securing research funding or collaborations. The ability to attract funding is desirable for this position, so be ready to discuss your past successes and future plans in this area.
We think you need these skills to ace Lecturer in Statistics - Strand, London, WC2R 2LS
Some tips for your application 🫡
Understand the Role:Thoroughly read the job description for the Lecturer in Statistics position. Make sure you understand the expectations, required qualifications, and the specific areas of expertise they are looking for.
Tailor Your CV:Customise your CV to highlight relevant experience and skills that align with the requirements of the role. Emphasise your PhD in Statistics or related fields, and any research expertise that matches their focus areas.
Craft a Strong Cover Letter:Write a compelling cover letter that outlines your research interests, teaching philosophy, and how you can contribute to the department's goals. Mention any previous experience in securing research funding and your potential to lead innovative research.
Highlight Collaborative Experience:If applicable, include examples of past collaborations with other departments or industry partners. This will demonstrate your ability to work within multidisciplinary teams, which is valued by the Statistics Group at King’s College London.
How to prepare for a job interview at King’s College London
✨Showcase Your Research Expertise
Be prepared to discuss your research in detail, highlighting any innovative projects or findings. Make sure to connect your work to the ongoing research at the Statistics Group and demonstrate how you can contribute to their goals.
✨Engage with Teaching Philosophy
Think about your teaching style and philosophy before the interview. Be ready to share examples of how you've successfully engaged students in the past and how you plan to enhance the undergraduate and postgraduate programmes at King’s.
✨Demonstrate Funding Potential
Since attracting research funding is desirable, prepare to discuss any previous experience you have in securing grants or your strategies for obtaining funding in the future. This shows your proactive approach to research sustainability.
✨Familiarise Yourself with Collaborative Opportunities
Research the various collaborations within the department and beyond, such as those with CUSP and Net Zero. Be ready to discuss how you can leverage these partnerships to enhance your research and contribute to interdisciplinary projects.
