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Strathclyde Chancellor's Fellow in Mathematics & Statistics (Lecturer/Senior Lecturer)

University of Strathclyde - Department of Mathematics and Statistics

Location: Glasgow
Salary: £36,914 to £59,135
Hours: Full Time
Contract Type: Permanent
Placed On: 20th January 2021
Closes: 28th February 2021
Job Ref: 341866
 

Strathclyde Global Talent Programme  

Location: Glasgow, UK 

Salary: £36,914 - £59,135* 

Hours: Full-time (flexible working considered)  

Contract type: Open-ended  

Placed on: Wednesday 20 January 2021 

Closes: Sunday 28 February 2021  

Salary Range: Lecturer: £36,914 - £51,034 Senior Lecturer: £52,560 - £59,135 

Who we are 

Be innovative and collaborative. Be a ‘Strathclyder’. 

We are the University of Strathclyde. Our vision is innovative and ground breaking, placing us amongst the world’s leading international technological universities. We are vibrant, dynamic and passionate about solving the challenges facing society and industry through our cutting-edge, multi-disciplinary research, education and knowledge-exchange with global partners.  

We are seeking to appoint extraordinary early career academics who complement our strategic themes.   

For more information visit the Strathclyde Global Talent Programme Website: www.strath.ac.uk/workwithus/strathclydeglobaltalentprogramme or email globaltalent@strath.ac.uk  

Our department 

The Department of Mathematics and Statistics has a long and distinguished record of high-quality research, particularly into practically relevant problems that arise in real-world applications and settings.  We are seeking excellent candidates to join our Numerical Analysis and Scientific Computing group which is one of the largest and most highly regarded groups in the UK, well known in particular for organising the long running international Biennial Conference in Numerical Analysis. The group’s key research focus is on the construction and rigorous analysis of computational methods for algebraic and differential equations arising in a wide variety of application areas. Applications are sought from outstanding candidates in all areas of Numerical Modelling, but we particularly encourage applicants whose research is in numerical analysis related to network science, high performance computing, stochastic processes, scientific machine learning, data science and associated technologies, which are our current areas of strategic growth. 

The opportunity 

We would love to hear from you if you have a PhD and postdoctoral research experience; an emerging publication history in high quality academic journals; and research interests which align with this area of strategic priority – particularly if you already hold an external fellowship that can be transferred to us. 

In keeping with our commitment to equality and diversity, we encourage applications from all sections of the community, particularly those who can support our Athena SWAN activity, which inspires the advancement and representation of women in higher education.  For more information on diversity and inclusion at Strathclyde, please see here.  

  • Growth of your research portfolio  
  • Reduced teaching load and limited administrative duties over the initial years of your Fellowship 
  • Support through our academic career development framework to meet your training needs and enhance your effectiveness – allowing you to be ready for promotion within 5-years of your appointment 
  • Mentoring, to help you establish a balance of research, teaching, knowledge exchange and citizenship responsibilities while enhancing your leadership qualities to support your long-term career. 

* Your Fellowship will normally be at lecturer level (exceptionally, at senior lecturer (Grade 9) (£52,560 - £59,135) where you have a strong track record in research leadership) for 5 years, with the expectation that you’ll meet our promotion criteria within that period and be transferred to senior lecturer (or, where you’ve been appointed as a senior lecturer, Reader) level. 

For further details and to apply to be a ‘Strathclyder’ in Mathematics & Statistics, impress us with your research plan here.   

Closing date: Sunday 28 February 2021  

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