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Impact Assistant/Associate

Requisition ID:  24694
Location: 

Newcastle, GB

Contract Type:  Fixed Term
Working Pattern:  Full Time
Posted Date:  14-Nov-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.

 

What’s in it for you? Newcastle University is a great place to work, with excellent benefits. We have a generous holiday package; plus the opportunity to buy more, great pension schemes and a number of health and wellbeing initiatives to support you.

 

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: £29,619 to £31,411 per annum

Research Associate: £32,348 to £42,155 per annum

 

Closing Date: 02 Janaury 2023

 

The Role

 

Newcastle University Solve (NU Solve) in the School of Mathematics, Statistics & Physics (MSP) is seeking to recruit an Impact Assistant / Associate to join a dedicated interdisciplinary team providing mechanisms for establishing and managing projects across all of the School’s main fields of research.

 

NU Solve has a track record of applying world-class academic expertise to businesses, industry, and wider society. From bespoke training and research to funded placements and consultancy, NU Solve works with businesses in the fields of mathematics, statistics, data science and physics to make real impact outside of academia.

 

This is an exciting role for a statistical data scientist to work on a diverse range of business projects with key industry, business, and government partners. You will expand the capacity of NU Solve to develop closer partnerships with businesses, cultural industries, and external agencies, and to broaden the scope of activity for the School of MSP in the area of data science and statistics. 

 

Working with School and Faculty facilitators in the University’s core strategic areas of Commercial Engagement, Education for Life and Research for Impact & Discovery, and School academics, you will provide a flexible resource, delivering consulting, applied research, training and student supervision. You will help enable timely grant applications, such as for Knowledge Transfer Partnerships (KTPs) and Industrial PhDs. 

 

This is a fixed term position, available immediately and tenable for 24 months initially, with the view to extend. We would be happy to discuss arrangements for flexible and/or blended working

 

For all informal enquiries, please contact Matt Linsley, Newcastle University Solve Manager by email: matthew.linsley@newcastle.ac.uk 

 

We are committed to building and maintaining a fair and inclusive working environment. We embrace equality and particularly welcome applications from community members that are under-represented in mathematics. If you have demonstrable experience in showing a commitment to equality, diversity and inclusion then please outline this in your application.

 

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 more information about NU Solve and our work, please click here

 

For more information about the School of Mathematics, Statistics and Physics, please click here 

 

We’re celebrating 150 years of Science, Agriculture and Engineering. Although a huge amount has changed over the last 150 years, one thing has stayed the same: our commitment to making a difference. We're educating the next generation of experts and tackling the biggest challenges facing our planet. Our innovative work has always focused on making a difference to people’s lives, and you can be part of it.

 

Key Accountabilities

  • The role is at Research Assistant / Associate level, based within NU Solve in the School of Mathematics, Statistics & Physics
  • The successful applicant will work on consultancy, training, applied research and student projects, working with and under direct academic and NU Solve manager supervision


The Person 

 

Knowledge, Skills and Experience 

  •     Broad knowledge of data science and statistics
  •     Knowledge of a range of statistical methods, for example: regression, classification, clustering, design of experiments, Bayesian statistics, time series analysis, dimension reduction
  •     Skills in technical software such as R/Python, Shiny, LaTeX
  •     Experience of, or exposure to, applying statistics or data science to industrial/business problems
  •     Familiarity with online communication technology, for example Zoom, Teams
  •     Appropriate experience in writing research publications
  •     Ability to handle a diverse portfolio of work, across a range of project types (desirable for Assistant)
  •     Ability to analyse large and complex datasets (desirable for Assistant)

Desirable

  •     Broad knowledge of mathematics and physics
  •     Additional software skills such as Tidyverse, Tableau, C/C++, Java
  •     Experience of working within and/or for organisations outside of academia
  •     Expertise with Microsoft Office, including Word, PowerPoint, and Excel 
  •     Experience of delivering oral presentations (essential for Research Associate) 
  •     Experience in report writing for projects underpinned by statistics and/or data science (essential for Associate) 


Attributes and Behaviour

  •     Demonstrable commitment to the values of equality and diversity in your work
  •     A positive attitude and ability to act as a role model to students and colleagues
  •     High level of problem-solving ability
  •     Excellent oral and written communicator; ability to communicate with a variety of individuals at different levels within an organisation
  •     Proficient time management skills
  •     Attention to detail
  •     Experience of the research community and environment
  •     An ability to work independently under supervision, make decisions within the remit of the role and take responsibility for the outcomes
  •     A desire for continued professional development and to develop and extend the role (desirable) 


Qualifications

  •     PhD (awarded or nearing completion) in statistics, statistical data science or a closely related discipline
  •     Masters and/or BSc awarded in the field of statistics, data science or a closely related discipline

 

 

 

The University holds a silver Athena SWAN award in recognition of our good employment practices for the advancement of gender equality. The University is also a member of the Euraxess initiative supporting researchers in Europe.

 

Requisition ID: 24694