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Research Assistant/Associate in Statistics

Requisition ID:  19542
Location: 

Newcastle, GB

Contract Type:  Fixed Term
Working Pattern:  Full Time
Posted Date:  28-Apr-2022

We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of England. Attracting and retaining high-calibre people is fundamental to our continued success.

 

We understand how important the full employment package is to our colleagues at Newcastle University and we are committed to providing a great range of benefits and discounts for all.  You can learn more about what is available here on our Benefits Website page.

 

Newcastle is an inclusive global University community where everyone is treated with dignity and respect.  As a University of Sanctuary, we aim to provide a welcoming place of safety for all, offering opportunities to people fleeing violence and persecution.

 

Newcastle University is committed to being a fully inclusive Global University which actively recruits, supports and retains colleagues from all sectors of society.  We value diversity as well as celebrate, support and thrive on the contributions of all our employees and the communities they represent.  We are proud to be an equal opportunities employer and encourage applications from everybody, regardless of race, sex, ethnicity, religion, nationality, sexual orientation, age, disability, gender identity, marital status/civil partnership, pregnancy and maternity, as well as being open to flexible working practices.

 

Salary:

Research Assistant: £28,756 to £30,497 per annum

Research Associate: £31,406 to £39,739 per annum

 

Closing Date: 28 May 2022

 

The Role

 

The School of Mathematics, Statistics and Physics at Newcastle University is seeking to recruit an ambitious Research Assistant/Associate in Statistics to an £0.8M EPSRC-funded project "Harnessing the Power of Stein Discrepancy in Bayesian Computation".  The project aims to develop novel and powerful algorithms for statistical computation, and is led by Professor Chris Oates.  

 

You will join the growing Statistics group at Newcastle University, which has wider expertise in Bayesian modelling, computation, and Machine Learning.  You will also have the opportunity to interact with The Alan Turing Institute and the National Innovation Centre for Data, both of which are partners of Newcastle University.  Generous funds are available for travel, training and other support.

 

We’re celebrating 150 years of Science, Agriculture and Engineering. Newcastle University wouldn’t be the place it is today without our students, alumni, staff and community. Although a huge amount has changed over the last 150 years, one thing has stayed the same: our commitment to making a difference.

 

We are committed to building and maintaining a fair and inclusive working environment. The position is offered on a fixed term basis for three years from start date, or tenable until the project end date, whichever is soonest. We would be happy to discuss arrangements for flexible and/or blended working.  As a group we embrace equality and particularly welcome applications from community members that are under-represented in Statistics.  Start dates are negotiable from September 2022 onwards. 
 

To apply, please complete the online application and attach a CV and covering letter. In your covering letter, please outline how you are either working towards, meet or exceed all the essential requirements for the role holder as outlined below, and highlight any expertise relevant to the described project.

 

For all information enquiries, please contact Professor Chris Oates via email: chris.oates@ncl.ac.uk

 

Key Accountabilities

•    Design novel algorithms for Bayesian computation
•    Conduct theoretical and empirical algorithmic assessment
•    Present research outputs to scientific and non-scientific audiences, in written and oral form.
•    Contribute to the positive culture and general strengths of the research group and the School; for example, through supervision of project students, organising/ participating in research events, as well as participation in outreach and initiatives to promote Equality, Diversity and Inclusion
•    Any other duties that may be required from time to time, commensurate with the grade of the post

 

The Person 

 

Knowledge, Skills and Experience 

•    Experience in theoretical and/or computational aspects of Statistics, Mathematics, Machine Learning, or a closely related field
•    A track record of high quality research outputs related to the goals of the project (e.g., publications, software, research tools etc.), commensurate with stage of career
•    Excellent communication skills, including the ability to write research publications, and to effectively communicate results to the scientific community
•    A track record of presenting research at conferences, symposia, or meetings, commensurate with stage of career
•    High level analytical and problem-solving capability
•    Demonstrable ability to work collaboratively as part of a team, including participating in research meetings and working on joint research projects

 

Attributes and Behaviour

•    Ability to work independently using own initiative and to meet deadlines
•    Ability to set own research goals, be self-motivated and proactive
•    Commitment to the values of equality, diversity and inclusion in all aspects of your work

Desirable

•    An interest in the (co-)supervision of undergraduate and/or postgraduate students 
•    Demonstrable commitment to promoting a positive and healthy research culture (e.g., by actively supporting/mentoring students, supporting initiatives to improve the work environment etc.) 

 

Qualifications

•    PhD awarded (or be nearing completion) in a relevant discipline or exceptionally equivalent professional experience
•    Honours Degree in a relevant discipline

 

The University holds a silver Athena SWAN award in recognition of our good employment practices for the advancement of gender equality. The University also holds the HR Excellence in Research award for our work to support the career development of our researchers, and is a member of the Euraxess initiative supporting researchers in Europe.

Requisition ID: 19542