We are a leading department of Electrical and Electronic Engineering in the UK, with a reputation for excellence in both teaching and research. The College obtained a gold rating in the first TEF exercise.
The department is part of the Faculty of Engineering and provides five degree programmes for approximately 850 undergraduate and postgraduate students The post holder will be part of the team responsible for the organization, delivery and innovation in teaching and support.
The primary role of the teaching fellow is to support the student learning experience in machine learning applied in various areas of electrical and electronic engineering. The tasks will mainly include but not be limited to: designing, teaching and assessing topics related to machine learning, deep learning, and engineering of systems that analyse signals from different sensors such as visual, tactile, audio, depth and others.
Deep knowledge of the discipline is essential, as is the ability to use and develop online teaching methods. You will be expected to teach and support lecture modules, coursework and laboratory exercises for undergraduate and postgraduate students and be involved in project design and supervision in the general area of machine learning. You will also be involved in academic and pastoral support duties. As a teaching fellow you need to maintain a high visibility and constant presence in the department for effective student support.
As a teaching fellow you are expected to undertake the full range of teaching, pastoral care and administrative duties in order to improve student engagement and satisfaction in their learning process.
You will be expected to assist with the wider activities in the machine learning laboratories and exercises as specified by the Director of Postgraduate Studies and the Director of Undergraduate Studies. Engagement in pedagogical development classes will be expected for future career progression. The College provides opportunities for training and qualifications, including part-time M.Ed. and Ph.D. courses.
Duties and responsibilities
Teaching / Teaching & Learning Support
Skills & Abilities
To apply, visit www.imperial.ac.uk/jobs and search by the job reference ENG01855.
Further information about the post is available in the job description at the above link.
Should you require any further details on the role please contact Christos Bouganis at firstname.lastname@example.org.
The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/
The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level.
We are committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment for all. We therefore encourage candidates to apply irrespective of age, disability, marriage or civil partnership status, pregnancy or maternity, race, religion and belief, gender identity, sex, or sexual orientation. We are an Athena SWAN Silver Award winner, a Disability Confident Leader and a Stonewall Diversity Champion.
Closing date: 03/02/2022
|Salary:||£45,234 to £53,536|
|Placed On:||7th January 2022|
|Closes:||3rd February 2022|
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