Teaching Fellow in Applied Machine Learning

Job summary

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...

Job listing information

  • Reference ENG01855
  • Date posted 6 January 2022
  • Closing date 3 February 2022

Job description

Job summary

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

  • To design and deliver lectures and tutorials in machine learning, computer science, and robotics for undergraduate and postgraduate students using up-to-date learning and teaching strategies.
  • To meet with student representatives, attend staff-student committee meetings and troubleshoot problems as they arise.
  • To supervise the work of students, provide advice on study skills and help them with learning problems.
  • To set assessments and assess the work and progress of students using appropriate criteria and provide constructive feedback to students, including feedback on reports and course assessments.
  • To participate in the supervision and assessment of student projects and lab experiments.

Learning Technology

  • To design and supervise the production of learning tools in a variety of formats including print, graphics, audio, video and animation technologies to support online lectures, coursework, assessment and feedback.
  • To collaborate with academic staff in the development and implementation of instructional design methods, creating customized web-based instructional elements, and managing online course development with the aim to enhance the impact of online and in-class learning outcomes.

Scholarship

  • To participate in continuing education to maintain an up-to-date knowledge base of new instructional software, of progress in the field of computer engineering and in pedagogical techniques.
  • To present on topics related to blended learning, technology and course design at regional and national meetings.

Administration & Other Activities

  • To assist in the admission process for the undergraduate and postgraduate course in applied machine learning.
  • To undertake associated routine administrative tasks that may arise in connection with the above activities.

Essential requirements

Education

  • Hold a PhD (or equivalent) in Computer Science or Electrical Engineering or a closely related discipline, or equivalent research, industrial or commercial experience.

Experience

  • Teaching experience in Computing or Electronic Engineering discipline.
  • Experience in mentoring or dealing with student groups in higher education.
  • Experience in software development.

Knowledge

  • Be proficient in python programming in general and deep learning frameworks in particular and have an ability to teach and inspire students in this area.
  • Be passionate in the area of blended learning methods and problem-based teaching strategies.
  • Theoretical and practical knowledge of classical machine learning and deep learning.
  • Theoretical and practical knowledge of one or more of: Python, Matlab, C++, Java.

Skills & Abilities

  • Be proficient in teaching and engagement of students in higher education.
  • Be able to create an effective module with appropriate assessment methods within the constraints of a project regarding available technology, budget, time and human capital.
  • An ability to be available for student support during working hours.
  • Ability to work autonomously and develop own strategies to respond to deadlines in a timely fashion.

Further information

Should you require any further details on the role please contact: Christos Bouganis at christos-savvas.bouganis@imperial.ac.uk.

Documents

About Imperial College London

Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world.

You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City.

We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces.

It’s our mission to achieve enduring excellence in all that we do for the benefit of society – and we are looking for the most talented people to help us get there.

Additional information

Please note that job descriptions cannot be exhaustive, and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.

Imperial College is committed to equality of opportunity and to eliminating discrimination. All employees are expected to follow the Imperial Values & Behaviours framework. Our values are: 

  • Respect              
  • Collaboration
  • Excellence          
  • Integrity
  • Innovation

In addition to the above, employees are required to observe and comply with all College policies and regulations.

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.

For technical issues when applying online please email support.jobs@imperial.ac.uk.