Associate Lecturer – UAL Creative Computing Institute

THIS JOB HAS NOW CLOSED

The opportunity

UAL Creative Computing Institute (CCI) are looking for Associate Lecturers in the Computer and Data Science and AI to join them.

Associate Lecturer work involves the responsibility for delivering academic and pastoral teaching including providing formative feedback to students, enhancing their creative coding and critical knowledge and building a studio culture that enables collaborative studies and a place to evolve individual and group learning. As the course evolves, we require additional specialist expertise provided by practitioners that can inspire and motivate students to realise their ambitions to create our futures.

The Computer and Data Science and AI courses (BSc and MSc) are an exciting mix of computing, data and AI creative practice set in the context of a world-renowned creative university. Students learn to code, work with electronics and physical computing, explore computing and artificial intelligence techniques in society and more. Students acquire a contemporary set of applied computing and engineering skills covering the dominant coding languages and workflows that support innovation in the computing, data science and AI sector. Building on these skills, and through creative practice, our students also develop an ability to innovate.

About you

Your profile should include –

• some experience of teaching within a higher education environment, and strong skills in effective planning, implementation and delivery.  
• have initiative, agility and enjoy working in a dynamic and fast-paced environment.
• be keen to learn pedagogies approaches adopting flipped classes when required and blended learning (some pre-record, some live) and work with the students as a team.
• have an established practice and a professional profile in computer and data science or adjacent fields.
• be actively engaged with current discipline debates on social impact and ethical approaches of computer and data science.
• bring commitment to exploring, expanding and progressing the field of computational practice.
• have specialist knowledge in coding (C, C++, Python, machine learning and other Web programming) and physical computing, data science and AI.
• be able to deliver content in these areas to a cohort of students who have just started learning coding or are staring coding for the first time.

Should you have any queries about this opportunity please email ccistaffingadmin@arts.ac.uk 

We are UAL

University of the Arts London (UAL) generates and inspires the creativity the world needs for a better future. Since 1842, our colleges have been defining creative education. With curiosity, imagination and intent we make work which creates lasting change for people and our planet. London is core to who we are, a place where we meet and share ideas with people from different backgrounds and cultures.

Our creative network influences learning, culture, industry and society on a global scale. Our academics and practitioners deliver creative education and inspire new ways of thinking through research and innovation. We work with students at every level from pre-degree and short courses to postgraduate and online learning, enabling them to build the careers they want. Together, we are a community of makers, thinkers, pioneers and storytellers redesigning the future.

Our culture

We are a global University, welcoming over 22,000 students and 6,000 staff from 130 countries. We aim to be a university where people can be themselves and feel supported to reach their full potential. That’s why we are proud to be members of the Race Equality Charter (REC) and Business Disability Forum, are a Disability Confident Scheme Committed and Living Wage employer and maintain our status as a Stonewall Diversity Champion.

Application process

We operate a fair and open anonymous selection process. Thus, you will need to create an account and submit an application through our job board. As part of this, you will need to provide a supporting statement/answer some competency questions to demonstrate your suitability. Our recruitment process involves: Application, Shortlisting, Interview and Assessment, Offer, Onboarding.

We understand the benefits of using AI in work. But, if you are thinking of using it to submit an application, we ask you to think about what value it adds. AI tools tend to lack the personal touch and authenticity we value in candidates. We encourage you to showcase your unique knowledge and skills using your own voice.

If we receive a high volume of applications, the closing day date might close early. We aim to communicate any changes to the closing date with at least 24 hours’ notice. If you have any general questions or have accessibility needs, please refer to our Contact us page.

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