Senior Lecturer / Associate Professor: Data Science

About The Role

The Games Academy is currently seeking a Senior Lecturer or Associate Professor to develop and lead a new research group in Data Aesthetics as well as to develop and lead undergraduate and postgraduate modules in Data Science. You will actively shape and contribute to the Games Academy’s ambitious research strategy. Notably, setting out to devise methods, tools and practices that are inclusive, creative and designed to enhance data literacy, transforming the way people use and work with data.

You will be responsible for leading impactful research projects in this area in collaboration with others in the Games Academy and wider university, as well as leading on the development of bids for external research funding. You will also be responsible for the design and development of curricula within the subject area, the aim of which is to help students present informed, valuable information through interpretation and analysis of data. This includes the delivery of underpinning theoretical and mathematical concepts for processing large samples of data, and the application of relevant algorithms to identify patterns and extract value from it. It will also include visualisation and communication techniques. Provisionally, modules include: “Data Fundamentals”, “Data Analytics”, “Data Mining”, “Data Aesthetics”, “Computational Mathematics”, and “Machine Learning”.

The first year of the role will be focused on research and curriculum development. In the first year, this would be limited to leading just one module with a significantly reduced teaching load. However, teaching responsibilities for the 23/24 academic year and beyond are to be negotiated subject to successful research funding bids and the successful leadership of the Data Aesthetics research group.

About You

The successful candidate for this role will need to be a pro-active leader to successfully deliver, and take ownership of, research and development. We are looking for individuals with advanced knowledge of mathematics in areas connected to data science and computing, and ideally carry an earned doctorate or equivalent research experience in the relevant subject areas.

We are looking to hear from candidates who have the following skills/experience:

• Proficiency in a variety of languages essential to Data Science, including R and Python;
• Capable of working with large sets of data;
• Performing optimal statistical analyses to interpret and communicate valuable findings;
• Creating and testing usable data models in real-world contexts;
• Comprehension of the pertinent professional, legal, ethical and social issues;
• Demonstrated ability to produce internationally excellent and world-leading research outputs in the fields related to data science and visualisation;
• A track record of external research funding is desirable, and required for candidates seeking appointment at Associate Professor level.

Candidates interested in the associate professorship position should carry sufficient in-depth knowledge of Data Science and Analytics to facilitate the development of new knowledge, innovation and understanding in the field through publications and research projects.

For full details, please see the job descriptions.

Professorial Title: We welcome the opportunity for candidates to apply for the title of Associate Professor as part of their application for this role.  If successful, the title would be awarded along with the role of Course Leader, which attracts a higher salary range of £54,949 to £60,027 per annum. To be considered for the title of Associate Professor, the additional job description followed by the process of being considered can be found above.  Any required supporting documentation will need to be uploaded as part of your application.

The closing date for this position is Sunday 11 December 2022.

Interviews to be held on Wednesday 4 January 2023.

About Us

As an employer of choice we can offer the successful candidate for this role a range of benefits, including:

• Employer Pension Contribution up to 12%.
• 35 days + 8 days bank holiday.
• Relocation Assistance to 10% of salary.
• Annual salary increments (Until top of grade reached)
• Enhanced Maternity/Paternity Pay
• Salary Sacrifice Car Scheme (Tusker)

Full details on our employee benefits can be found on our careers page www.falmouth.ac.uk/jobs. Alongside these benefits we offer a first class working environment across our campuses with all the facilities you would expect from a leading University.

A successful external candidate for this position would be employed by Falmouth Staffing Ltd, a wholly-owned subsidiary of Falmouth University. Employees of Falmouth Staffing Ltd work alongside Falmouth University colleagues in the delivery of Falmouth’s strategic vision and will adopt Falmouth University’s HR policies and procedures in full. Falmouth University welcomes and encourages job applications from people of all identities and backgrounds, particularly those under-represented and/or marginalised, as it is important we have a diverse range of candidates to consider.