Research Assistant/Associate (Date-Centric Engineering) - D236886R
 

Salary:  £27,831 - £29,515 per annum (PhD Near Completion - Research Assistant)             
             £30,395 - £32,236 per annum (PhD Awarded - Associate Level)

Closing date: 16 August 2019

We are looking to appoint two Research Assistants/Associates to undertake research in data-centric engineering, broadly defined.

You will be ambitious and have a clear vision of the research you seek to deliver, making this role well-suited to early career researchers who wish to develop a distinctive portfolio of independent and collaborative research. You will disseminate research through publication in appropriate, high-quality peer-reviewed journals and present research findings at national and international conferences and scientific meetings.

A generous travel and conference allowance will be available to support your research activities and to enable you to interact with the Lloyd’s Register Foundation programme on data-centric engineering at Alan Turing Institute, based in the British Library in London, UK. There is the possibility that you could be based part or full time at the Alan Turing Institute.

You will hold a PhD in Statistics or a related technical discipline (in submission or awarded) and will have strong mathematical skills, or excellent computational expertise (or both). You will have excellent communication skills and should be capable of articulating a compelling vision to achieve the aim of the research.

For informal enquiries, please contact Professor Chris Oates, Chair in Statistics at Newcastle University and Group Leader for the data-centric engineering programme at the Alan Turing Institute, chris.oates@ncl.ac.uk

There are two posts which are fixed Term for 24 months.

For more information on Professor Chris Oates, please visit https://oates.work

These positions are in collaboration with the Lloyd’s Register Foundation programme on data-centric engineering at the Alan Turing Institute. For more information on The Alan Turing Institute, please visit https://www.turing.ac.uk/

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.

Please be advised that due to the minimum salary thresholds imposed by the UKVI, this post may not qualify for University sponsorship under Tier 2 of the points based system.

Newcastle University is committed to being a fully inclusive Global University which actively recruits, supports and retains staff from all sectors of society.  We value diversity as well as celebrate, support and thrive on the contributions of all our employees and the community 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.

D236886R.pdf 

Faculty/Services
Faculty of Science, Agriculture & Engineering
Unit
Mathematics, Statistics and Physics
Sub Unit
Mathematics and Statistics
Staff Category
Research
Contract Type
Fixed Term
Hours of Work
Full Time
Location
Newcastle upon Tyne
 
Salary:  £27,831 - £29,515 per annum (PhD Near Completion - Research Assistant)             
             £30,395 - £32,236 per annum (PhD Awarded - Associate Level)

Closing date: 16 August 2019

We are looking to appoint two Research Assistants/Associates to undertake research in data-centric engineering, broadly defined.

You will be ambitious and have a clear vision of the research you seek to deliver, making this role well-suited to early career researchers who wish to develop a distinctive portfolio of independent and collaborative research. You will disseminate research through publication in appropriate, high-quality peer-reviewed journals and present research findings at national and international conferences and scientific meetings.

A generous travel and conference allowance will be available to support your research activities and to enable you to interact with the Lloyd’s Register Foundation programme on data-centric engineering at Alan Turing Institute, based in the British Library in London, UK. There is the possibility that you could be based part or full time at the Alan Turing Institute.

You will hold a PhD in Statistics or a related technical discipline (in submission or awarded) and will have strong mathematical skills, or excellent computational expertise (or both). You will have excellent communication skills and should be capable of articulating a compelling vision to achieve the aim of the research.

For informal enquiries, please contact Professor Chris Oates, Chair in Statistics at Newcastle University and Group Leader for the data-centric engineering programme at the Alan Turing Institute, chris.oates@ncl.ac.uk

There are two posts which are fixed Term for 24 months.

For more information on Professor Chris Oates, please visit https://oates.work

These positions are in collaboration with the Lloyd’s Register Foundation programme on data-centric engineering at the Alan Turing Institute. For more information on The Alan Turing Institute, please visit https://www.turing.ac.uk/

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.

Please be advised that due to the minimum salary thresholds imposed by the UKVI, this post may not qualify for University sponsorship under Tier 2 of the points based system.

Newcastle University is committed to being a fully inclusive Global University which actively recruits, supports and retains staff from all sectors of society.  We value diversity as well as celebrate, support and thrive on the contributions of all our employees and the community 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.

D236886R.pdf