Lecturer / Senior Lecturer in Data Science

You will be working in an environment where you have the freedom to pursue your research interests at the same time as inspiring the next generation of engineers and scientists. The School of Computer Science seeks to appoint a Lecturer or Senior Lecturer to contribute to teaching and research in foundational and advanced topics across data analytics and data science. The post holder will also contribute to teaching on other programmes should this be required, including other undergraduate, postgraduate and PhD supervision.

Main Duties and Responsibilities

• Deliver high-quality teaching in areas such as fundamentals of ML and deep learning.
• Deliver practical sessions on supervised learning, neural networks, CNNs, RNNs etc.
• Introduce students to advanced topics and use cases to areas such as speech, vision, bioinformatics etc.
• Develop and assess coursework projects focused on data preparation, clustering, classification using Python/R etc.
• Develop and assess coursework projects focused on NLP and broad areas of data science.
• Deliver high-quality teaching in areas such as data visualisation and storytelling using online tools and technologies (e.g., Tableau, D3), social networks and business, graph and game theory etc.
• Develop and assess coursework projects and lead discussions on privacy, power and trust in online social networks.
• Contribute to module updates reflecting emerging tools and practices.
• Supervise undergraduate and postgraduate research projects.
• Develop the research activities of the School/Department by sustaining a personal research plan of international standing in the broad field of computer science areas such as machine learning, deep learning and related areas. Apply for appropriate external research funding and carry out management and administrative tasks associated with specified research projects.
• Contribute to the academic administration and collegial life of the school.

Person Specification

Qualifications, knowledge and experience

• PhD in Computer Science, HCI, Data Science, NLP, AI or related disciplines.
• Demonstrable expertise in data analytics, Python/R, SQL, modern analytics tools. Ability to teach core technical skills for data science, including data collection/analytics/interpretation/use, modelling data, unimodal and multimodal data mining etc for beginners to advanced groups
• Demonstrable expertise in TensorFlow, PyTorch, modern analytics tools. Ability to teach core technical skills for data science, including fundamentals of ML and deep learning, supervised learning, neural networks, CNNs, RNNs for beginners to advanced groups.
• Demonstrable expertise in Tableau, Python visualisation libraries etc. Ability to teach core technical skills for data science, including data visualisation and storytelling as well as social networking technologies, game theory, network dynamics, social semantic web for beginners to advanced groups.
• Demonstrable expertise in NLP toolkits. Ability to teach core technical skills for data science, including NLP, supported by real-world case studies, machine learning etc for beginners to advanced groups.
• A developing track record of research and publications and/or industry experience in Computer Science.
• Strong communication and interpersonal skills
• Teaching qualification (PGCAP, PG Cert HE or equivalent) (Desirable)
• Fellowship (FHEA) or Senior Fellowship (SFHEA) of Advance HE. (Desirable)
• Experience supervising students or mentoring early-career researchers. (Desirable)
• Prior experience of teaching or studying within the UK higher education system, or with a demonstrable understanding of UK academic standards and pedagogical practices (Desirable)

Planning and organising

• Experience of planning and monitoring teaching activities, ensuring plans complement broader research and education strategy.
• Able to develop innovative research proposals and attract research funding. (Desirable)
• Plans, manages, delivers and assess own education contributions. (Desirable)

Problem solving and initiative

• Able to identify broad trends to assess deep-rooted and complex issues.
• Able to apply originality in modifying existing approaches to solve problems.
• Showing strong initiative regarding keeping up to date with the latest tech trends and developments.
• Ability to work agnostically across a range of technologies and applications to solve specific problems in practice. (Desirable)
• Ability to assess and use appropriate tools, while also contribution to innovation within the programme through the purchasing of new technologies. (Desirable)

Management and teamwork

• Proven ability to collaborate effectively and support colleagues and stakeholders.
• Work effectively in a team, understanding the strengths and weaknesses of others to help teamwork development.
• Able to monitor and manage resources and budgets. (Desirable)
• Able to manage inventories of hardware and software with academic and technical staff across a variety of programmes. (Desirable)

Communicating and influencing

• Communicate new and complex information effectively, both verbally and in writing, engaging the interest and enthusiasm of the target audience.
• Track record of delivering workshops, lectures and seminars in courses relating to different aspects of computer science.
• Able to engage counselling skills and pastoral care, where appropriate.
• Able to provide expert guidance to colleagues in own team, other work areas and institutions to develop understanding and resolve complex problems. (Desirable)
• Experience in public outreach including Open Days, workshops, other events and social media. (Desirable)
• Experience in community building, e.g. through digital collectives, communities, hacker spaces etc. (Desirable)

Other skills and behaviours

• Understanding of relevant Health & Safety issues.
• Positive attitude to colleagues and students.
• Understanding of Techno-Ethics and Technology for Good philosophies. (Desirable)
• Strong interpersonal skills and behaviour in public settings. (Desirable)

Special requirements

• Ability to teach core technical skills for data science, including data visualisation and storytelling as well as social networking technologies, game theory, network dynamics, social semantic web for beginners to advanced groups.
• Awareness of international standards for computing such as IEEE, W3C, BSOL etc. (Desirable)

This job description is provided as a guide to the role. It is not intended to be an exhaustive description of duties and responsibilities and may be subject to periodic revision.

To apply for this role, please click on the 'Apply' button above.

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Oxford International is an equal opportunity employer. Every applicant and employee has the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status.