Teaching Fellow in Aeronautics

Job summary

The Department of Aeronautics are seeking to recruit a Teaching Fellow with appropriate disciplinary experience, educational qualification and expertise, and proven teaching ability to provide teaching support during a period of staff leave for one year. Candidates offering particularly outstanding teaching expertise in other areas relevant to our taught programmes will be also be considered.

Job listing information

• Reference ENG01642
• Date posted 21 April 2021
• Closing date 23 May 2021

Key information about the role

• Location South Kensington and Silwood Park Campus (map)
• Position type Full time, fixed term
• Salary £44,434 – £52,589 plus benefits
• Department Department of Aeronautics
• Category Academic & Teaching / Non Clinical Academic & Teaching

Job description

Job summary

The Department of Aeronautics are seeking to recruit a Teaching Fellow with appropriate disciplinary experience, educational qualification and expertise, and proven teaching ability to provide teaching support during a period of staff leave for one year. Candidates offering particularly outstanding teaching expertise in other areas relevant to our taught programmes will be also be considered.

Duties and responsibilities

You will be primarily responsible for:

• providing support for teaching and assessment in computational and numerical subjects;
• assisting in the development of new material for courses on the application of artificial intelligence to aeronautics;
• working with a wide range of colleagues, students and external stakeholders to develop and promote innovative curriculum design and delivery.

You will also participate in and assist the Departmental academic staff with: the introduction of innovative curriculum design and delivery utilising more interactive teaching methods, increased use of technology enhanced learning, inclusive and authentic learning and assessment and greater integration of Imperial’s research community to increase learning by discovery.

The intention is to update disciplinary curricular, aligning them with Imperial’s new learning and teaching strategy and our desired undergraduate or postgraduate attributes, and propagating and promoting STEM teaching expertise and excellence across the institution and beyond.

Essential requirements

You should have a degree in science or engineering, with a strong capability in computational science and will ideally have some familiarity with machine learning.

Further information

Please direct queries to Lisa Kelly by email to: l.kelly@imperial.ac.uk  

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