Assistant/Associate Professor in Statistics Edinburgh, Midlothian, United Kingdom Posted on 10/[...]

Salary: Grade 8/9 (£45,585-£54,395)/(£56,021-£64,914)
Contract: Full-time (35 hours a week)
Detailed Description
The Department of Actuarial Mathematics and Statistics at Heriot-Watt University, Edinburgh, is seeking to enhance and expand its strengths in research and teaching in statistics by appointing either an Assistant Professor or an Associate Professor in Statistics.
Applicants are invited from any area of the statistical sciences.
Those working in Bayesian statistics, applied statistics, statistical learning, actuarial statistics or epidemiology are particularly welcome to apply.
As the successful candidate, you will lead, carry out and publish internationally excellent research in your field.
You will have a strong track record of research in statistics or statistical data science which includes fields such as applied statistics, Bayesian statistics, statistical learning, actuarial statistics, epidemiology, computational statistics and statistical methodology.
You will be established (a requirement to be considered at Associate Professor level) or have the potential to establish yourself as an international research leader, with strong postdoctoral research experience and the ambition to build a world-class academic group.
You will have the relevant experience to engage and innovate in our specialised statistical data science, actuarial and financial teaching programmes.
The School strongly encourages and supports the generation of industry impact from research, and we welcome candidates with experience of statistical work with industrial partners or working with the actuarial/insurance/financial industry.
About our team
The Department of Actuarial Mathematics and Statistics has a warm, supportive environment with staff from all over the world. The Department is internationally renowned in statistics and statistical data science, applied probability, actuarial science and financial risk, through its world-leading research activities.
As part of the Maxwell Institute, we are ranked 3rd in the UK for the excellence and breadth of our research, in the 2021 UK government’s 5-yearly assessment of university research.
The Department is looking to further strengthen its statistics group, to support its ambitions to enhance and expand its statistics expertise.
Our statisticians work in various fields, such Bayesian statistics, applied statistics, statistical learning, actuarial statistics and epidemiology.
We have close ties and collaborations with researchers at the School of Mathematics at the University of Edinburgh, through the Maxwell Institute, under the “Data and decisions” research theme.
The Department has a history of generating industry impact from its research, ranging from financial services to electricity grids. Additionally, we are working towards a greater research presence in the area of climate change and sustainability, which is aligned with the University’s Global Research Institute on Net Zero.
In the University structure, the Department sits within the School of Mathematical and Computer Sciences, along with the Department of Mathematics and the Department of Computer Science.
The School is a partner in the Maxwell Institute for Mathematical Sciences, an institute that brings together the mathematical research activities at Heriot-Watt University and the University of Edinburgh. The Maxwell Institute is an internationally pre-eminent, collaborative centre for research and for postgraduate training in the mathematical sciences.
It offers an environment that can attract and foster the very best mathematical talent from around the world.
With an exciting programme of research events, the Maxwell Institute is the heart of mathematical sciences research in Edinburgh.
It also coordinates the Maxwell Institute Graduate School (MIGS), to which all our mathematical sciences PhD students belong.
The Maxwell Institute was awarded around £6m of funding from the Engineering and Physical Sciences Research Council for a centre for doctoral training in Mathematical Modelling, Analysis and Computation (MAC-MIGS) and is applying to renew the funding.
Many of the doctoral students work on topics in statistics.
The International Centre for Mathematical Sciences (ICMS), located in the centre of Edinburgh, is another physical and networking resource for our staff.
ICMS attracts top international mathematical visitors all year round through its extensive programme of international workshops, meetings, and other research and outreach activities.
Many of our staff spend a couple of days a week there, to meet with collaborators at the University of Edinburgh.
The School of Mathematical and Computer Sciences has an Athena SWAN Bronze Award and is committed to its equality charter, which includes having a diverse and inclusive workforce, and to offering equality of opportunity to all.
Key Duties and Responsibilities
The post-holder will be required to:
Lead, carry out and publish internationally excellent research in statistics, statistical data science, or a related field;
Apply for research funding through either the submission of high-quality grant proposals or funding from industry, with the goal of building a research group;
Undertake knowledge exchange activities to promote and disseminate your research;
Carry out such administrative and recruitment activities as may be required to achieve these aims;
Develop and deliver innovative teaching in statistics and related fields at undergraduate and postgraduate level;
Be responsible to the Head of Department for performing the activities listed above in a way that will maintain and enhance the School’s reputation for excellence.
The successful candidate will be based at our Edinburgh campus in the UK. We encourage applications from under-represented groups.
We welcome requests for flexible working arrangements and normally accommodate them.
Education, Qualifications and Experience
As the successful candidate, you will lead, carry out and publish internationally excellent research in your field.
You will have a strong track record of research in statistics, which may also include actuarial data science, financial risk and climate change risk, as demonstrated through publications, citations, external invitations and research funding.
You will be established as an international research leader, with the ambition to build a world-class academic group and have the experience or potential to supervise PhD students and post-doctoral researchers.
You will have the relevant experience to engage and innovate in our specialised statistical data science, actuarial and financial teaching programmes.
You will have the drive and commitment to contribute to the expansion of our successful postgraduate programmes.
Essential Criteria
E1. PhD in statistics, or a related field.
E2. Track-record of internationally-leading research with internationally excellent publications.
E3. Skills to teach a range of lecture courses in the Department, as well as supervise MSc dissertations.
E4. Excellent interpersonal and teamwork skills.
E5. Potential, ambition and plans to obtain research funding.
E6. Ability to supervise successfully PhD students.
Desirable Criteria
D1. Track record of obtaining research funding.
D2. Track record of successful supervision of PhD students and/or post-doctoral researchers.
D3. Experience of statistical work with industrial partners.
D4. Potential to provide leadership in the development and implementation of a research strategy within the Department of Actuarial Mathematics and Statistics.
D5. Potential to provide leadership in the planning, organisation and development of learning and teaching activities in the Department.
About our team
The Department of Actuarial Mathematics and Statistics has a warm, supportive environment with staff from all over the world. The Department is internationally renowned in statistics and statistical data science, applied probability, actuarial science and financial risk, through its world-leading research activities.
As part of the Maxwell Institute, we are ranked 3rd in the UK for the excellence and breadth of our research, in the 2021 UK government’s 5-yearly assessment of university research.
The Department is looking to further strengthen its statistics group, to support its ambitions to enhance and expand its statistics expertise.
Our statisticians work in various fields, such Bayesian statistics, applied statistics, statistical learning, actuarial statistics and epidemiology.
We have close ties and collaborations with researchers at the School of Mathematics at the University of Edinburgh, through the Maxwell Institute, under the “Data and decisions” research theme.
The Department has a history of generating industry impact from its research, ranging from financial services to electricity grids. Additionally, we are working towards a greater research presence in the area of climate change and sustainability, which is aligned with the University’s Global Research Institute on Net Zero.
In the University structure, the Department sits within the School of Mathematical and Computer Sciences, along with the Department of Mathematics and the Department of Computer Science.
The School is a partner in the Maxwell Institute for Mathematical Sciences, an institute that brings together the mathematical research activities at Heriot-Watt University and the University of Edinburgh. The Maxwell Institute is an internationally pre-eminent, collaborative centre for research and for postgraduate training in the mathematical sciences.
It offers an environment that can attract and foster the very best mathematical talent from around the world.
With an exciting programme of research events, the Maxwell Institute is the heart of mathematical sciences research in Edinburgh.
It also coordinates the Maxwell Institute Graduate School (MIGS), to which all our mathematical sciences PhD students belong.
The Maxwell Institute was awarded around £6m of funding from the Engineering and Physical Sciences Research Council for a centre for doctoral training in Mathematical Modelling, Analysis and Computation (MAC-MIGS) and is applying to renew the funding.
Many of the doctoral students work on topics in statistics.
The International Centre for Mathematical Sciences (ICMS), located in the centre of Edinburgh, is another physical and networking resource for our staff.
ICMS attracts top international mathematical visitors all year round through its extensive programme of international workshops, meetings, and other research and outreach activities.
Many of our staff spend a couple of days a week there, to meet with collaborators at the University of Edinburgh.
The School of Mathematical and Computer Sciences has an Athena SWAN Bronze Award and is committed to its equality charter, which includes having a diverse and inclusive workforce, and to offering equality of opportunity to all.
How to Apply
Applications can be submitted until midnight on the 9th of November 2023.
Interested applicants must submit via the Heriot-Watt University on-line recruitment system: (1) a cover letter describing their interest and suitability for the post; (2) a full CV; (3) An outline of their research plans for the next few years; (4) A one-page summary of their teaching philosophy or approach to teaching; and (5) a list of publications.
If you have any queries, then please do not hesitate to contact either Professor Catherine Donnelly, Head of Department, ##### or Professor George Streftaris, #####.
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Our flourishing community will give you the freedom to challenge and to bring your enterprising mind and to help our partners with solutions that can be applied now and in the future. Join us and Heriot Watt will provide you with a platform to thrive and work in a way that also helps you live your life in balance with well-being and inclusiveness at the heart of our global community.
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Equality and diversity are all about maximising potential and creating a culture of inclusion for all.
Heriot-Watt University values diversity across our University community and welcomes applications from all sectors of society, particularly from underrepresented groups. For more information, please see our website  and also our award-winning work in Disability Inclusive Science Careers  .
We welcome and will consider flexible working patterns e.g. part-time working and job share options.
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