Lecturer in Computational Intelligence and Data Analytics
School/Department School of Aerospace, Transport and Manufacturing
Based at Cranfield Campus, Cranfield, Bedfordshire
Hours of work 37 hours per week, normally worked Monday to Friday. Flexible working will be considered.
Contract type Permanent
Salary Full time starting salary is normally in the range £44,001 to £49,048 per annum with potential progression to £61,309 per annum
Apply by 17/09/2021
Cranfield University’s world-class expertise, large-scale facilities and unrivalled industry partnerships is creating leaders in technology and management globally. Learn more about Cranfield and our unique impact here.
We welcome applications for this key Lecturer post from those with relevant knowledge and experience in Computational Intelligence & Data Analytics, to join the Centre for Computational Engineering Sciences (CES). The Centre is part of the Aerospace theme embedded within the School of Aerospace, Transport and Manufacturing (SATM) dedicated to high-quality teaching, research and consultancy in Computational Engineering.
Aerospace is at the heart of Cranfield’s global research airport and is renowned throughout the world for its teaching and research in the fields of aviation and aerospace. Cranfield Aerospace’s six centres are the powerhouses of our world class research, driving technological and conceptual advances in aeronautics, propulsion engineering, cyber-physical systems and intelligent automation. Through the strong links with industry built over the past 70 years, we focus on defining and delivering the aircraft, airport and airspace management of the future and are the only university in Europe with our own airport and runway. Cranfield Aerospace is internationally recognised as the first choice for research and education in all aspects of aerospace including aircraft, drones, urban air mobility and space.
About the Role
Due to an expanding portfolio, the CES centre is looking for a new Lecturer in Computational Intelligence and Data Analytics to join this growing and enthusiastic team. You will contribute to the development and delivery of our high-quality master’s programmes and Continuing Professional Development. You will of course be involved in bidding for, leading and delivering high-quality research and consulting within the field of Computational Intelligence.
Successful applicants will typically hold a PhD in Computer Science or relevant subject and already have teaching experience and a strong track record of publications in their chosen field in high impact journals and conference proceedings. Also required is knowledge and experience of Computational Engineering related software and analysis, sound mathematical and computer skills, including programming in Python, C/C++, and experience in the supervision of taught and research students, including the management of student research. In return, the successful applicant will have exciting opportunities for career development in this key position, and to be at the forefront of world leading research and education, joining a supportive team and environment.
Our shared, stated values help to define who we are and underpin everything we do: Ambition; Impact; Respect; and Community. Find out more here. We aim to create and maintain a culture in which everyone can work and study together and realise their full potential.
Diversity and Inclusion
Our equal opportunities and diversity monitoring has shown that women minority ethnic groups are currently underrepresented within the university and so we actively encourage applications from eligible candidates from these groups.
To further demonstrate our commitment to progressing gender diversity in STEM, we are members of WES & Working Families, and sponsors of International Women in Engineering Day.
We actively consider flexible working options such as part-time, compressed or flexible hours and/or an element of homeworking, and commit to exploring the possibilities for each role. Find out more here.
How to apply
For an informal discussion, please contact Professor Karl Jenkins, Professor of Computational Engineering, on +44 (0)1234 758227 or (E); firstname.lastname@example.org