We are seeking to recruit three academic posts to our Visual Computing research group, which will expand the remit of the group to include computer vision research and its application in areas such as robotics, advanced manufacturing, cybersecurity and health.
Chair in Computer Vision
This is a significant new appointment to lead our Visual Computing research group and establish a clear strategy for visual computing research in the Department of Computer Science.
We are particularly keen to appoint a candidate with a strong track record of developing novel computer vision methods, in areas including – but not limited to – robotics (such as computer vision for manipulation and autonomous locomotion), visual search at large scale, object modelling and recognition, visual biometrics and advanced manufacturing (such as automatic visual inspection).
In addition to leading the Visual Computing Research Group, you will make broad contributions to the Department’s strategies for research, teaching and knowledge exchange.
Lecturer/Senior Lecturer in Computer Vision (two posts)
You will have a strong track record in developing novel computer vision methods, and expertise in an area of computer vision that complements our existing research strengths.
A key requirement of the role is the ability to establish collaborations with other research groups and engage in interdisciplinary projects. As a Lecturer or Senior Lecturer, you will conduct research to the highest standards and as a teacher, you will play a key role in maintaining our reputation for high-quality teaching.
For further information and how to apply
|Chair in Computer Vision||UOS021380||Closing date: 15 February 2019|
|Lecturer/Senior Lecturer in Computer Vision (two posts)||UOS021379||Closing date: 15th February 2019|
We are looking to recruit two academic posts within our Organisations, Information and Knowledge (OAK) research group.
Lecturer/Senior Lecturer in Pervasive and Ubiquitous Computing
This is an exciting opportunity for a Lecturer/Senior Lecturer in our OAK (Organisations, Information and Knowledge) research group. We are seeking an outstanding candidate with a strong academic track record in pervasive and ubiquitous computing. Working with very large volumes of heterogeneous data (e.g. from mobility trackers, vehicular sensors, cameras, medical sensors), you will identify data needs and focus big data research over them, supporting translation of research outcomes in areas such as smart cities, mobility, health and wellbeing, and web technologies.
Lecturer/Senior Lecturer in Large Scale Data Fusion
This is a further Lecturer/Senior Lecturer appointment in our OAK group, which conducts research and innovation in the area of large-scale data, information and knowledge acquisition, data integration and sharing. You will have a proven academic track record in algorithmic research for big data analytics, and the ability to work with real-world data at large scale. Candidates should have an interest in seeing their research being carried to high technology readiness levels. You will have experience of developing computational methods that advance the current state-of-the art in terms of big data analysis and fusion, and automated information extraction.
For further information and how to apply
|Lecturer/Senior Lecturer in Pervasive and Ubiquitous Computing||UOS021240||Closing date: 8 February 2019|
|Lecturer/Senior Lecturer in Large Scale Data Fusion||UOS021238||Closing date: 8 February 2019|
Lecturer/Senior Lecturer in Machine Learning
We are now seeking to make an appointment at Lecturer or Senior Lecturer level in the Machine Learning research group. You will have a strong track record in developing novel machine learning methods, and expertise in an area of machine learning that will either support our existing research profile or complement it. A key requirement of the role is the ability to establish collaborations with other research groups and engage in interdisciplinary projects.
For further information and how to apply:
|Lecturer/Senior Lecturer in Machine Learning||UOS021108||Closing date: 18 January 2019|
Our Department: Introduction from Professor Guy Brown
Since it was established in 1982, the Department of Computer Science at the University of Sheffield has attained an international reputation for its research and teaching. In the 2014 Research Excellence Framework (REF) exercise, we were ranked 5th out of 89 departments in the UK for computer science research.
Our goal is to be among the top five computer science departments in the UK by any measure. Over the last three years we have substantially grown the depth and breadth of our research, establishing new groups in cybersecurity and algorithms, and growing our links with industry partners. Our student population has also increased in volume and quality, allowing us to make further investment in staff and facilities.
To drive our research agenda forward, and to further support our excellence in teaching, we are now making a number of strategic appointments. Over the next year we expect to recruit up to 13 additional staff, in areas such as cybersecurity, data science, machine learning, computer vision and natural language processing. This is a tremendously exciting time for the Department of Computer Science. I look forward to working with our new members of staff.
Professor Guy Brown
Head of the Department of Computer Science
Research in the Department of Computer Science
Our vision is to achieve research excellence and impact by translating fundamental knowledge into practice, through collaboration with end users. Research in the Department is organised into three broad themes, namely artificial intelligence, systems and theory. Within these themes, research groups cover interests in machine learning, cybersecurity, testing, verification, algorithms, complex systems modelling, natural language processing, speech and hearing, visual computing and organisations, information and knowledge.
We are major contributors to research institutes in the areas of robotics (Sheffield Robotics), in silico medicine (Insigneo), translational neuroscience (SITraN) and assistive technologies for healthcare (CATCH). We also support a Research Software Engineering (RSE) group that provides expertise in research software and high-performance computing to the wider University. There is substantial cross-group research activity in many areas, ensuring that research is multidisciplinary and collaborative. You can read more about research in the Department at www.sheffield.ac.uk/dcs/research.
The Department attracts a high level of external funding from UK Research Councils, the European Union and industry. Our record for leadership in collaborative research is outstanding, particularly in European programmes. Currently we host two ERC fellows and two EPSRC fellows.
Teaching in the Department of Computer Science
We offer 3-year and 4-year undergraduate degrees in Computer Science, Software Engineering and Artificial Intelligence. We were among the very first universities in the world to offer a degree in software engineering, back in 1988. We have an enviable reputation for innovative teaching methods based on enterprise, industrial projects and problem-based learning.
Our first and second year undergraduate students are taught in the Diamond, a world class facility for engineering education opened in September 2015. Following a recent visit, Professor Fei Fei Li (director of the Stanford AI lab and Chief Scientist for Google AI) commented that “every university engineering dean worldwide should visit here”.
Our student-run software company, Genesys, was the first of its kind in the UK and our approach has now been adopted by several other universities. The Department is a member of the Institute of Coding, a £20M project funded by the UK Government to develop innovative approaches to teaching digital skills at undergraduate and postgraduate levels.
At Masters level we offer programmes in Advanced Computer Science, Advanced Software Engineering, Software Systems and Internet Technology, and specialised programmes in Speech and Language Processing, Data Analytics and Cybersecurity & AI.
Opportunities for collaboration with academia and industry
The Department of Computer Science is a member of the Faculty of Engineering at Sheffield, one of the biggest and best providers of engineering research and education in the UK. The faculty has over 5,000 students and is among the top three faculties in the UK for research income (at approximately £40 million annually). There are many opportunities for collaboration between staff in the Department of Computer Science and colleagues in related departments such as Electrical and Electronic Engineering and Automatic Control and Systems Engineering. We also collaborate closely with the Advanced Manufacturing Research Centre in areas such as robotics and cybersecurity.
Digital industries in Sheffield are thriving, particularly in the creative sector. Major local companies include Sky Betting and Gaming, ARM, Zoo Digital, PlusNet, Sumo Digital, Twinkl and Jaywing.
Working at the University of Sheffield
We are the only university to feature in the Sunday Times 100 Best Not-for-Profit organisations to work for 2018. In our staff survey (2016) 94% of staff said they were proud to work for the University and 89% of our staff would recommend the University as an excellent place to work.
The University builds teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience. The University of Sheffield is proud to be a Two Ticks employer: www.sheffield.ac.uk/hr/equality/support/twoticks.
The Department of Computer Science is one of very few in the UK that holds a Silver Athena SWAN award, in recognition of our commitment to equality and diversity. The Department has a very active equality and diversity agenda, linking to national initiatives such as BCSWomen and Code First: Girls.
The City of Sheffield
Sheffield is a vibrant, friendly, safe city surrounded by some of the most breathtaking countryside in the UK. It has been called the UK’s greenest city; there are 50 public parks and 170 woodlands within the city boundary. England’s fourth-largest city, Sheffield has the wealth of facilities you’d expect to find in a major city, yet more than a third of the city lies inside the Peak District National Park.
The city of Sheffield contains an abundance of entertainment and cultural activities. With a thriving cultural industries quarter and a range of city-wide events throughout the year, there is something on offer to suit everyone’s taste and interests.
Located in the centre of the UK, Sheffield is at the heart of an excellent transport network. There are 6 international airports within 65 miles and a bustling railway station offers access to every corner of the UK, and beyond.
To find out more about how we work with partners and friends in Sheffield to help shape a culturally and economically vibrant city visit: www.sheffield.ac.uk/about/city
Rewards and Benefits
We offer an excellent reward and benefits package (‘The Deal’):
- Highly competitive pay, pension, reward and recognition opportunities linked to performance.
- An extraordinary health and wellbeing offer ‘Juice’, that promotes happiness and wellbeing amongst our staff through a broad range of inclusive activities.
- A comprehensive selection of benefits to suit your lifestyle needs under the umbrella of ‘The Deal’.
- Access to extensive development and training opportunities, including our award-winning Sheffield Leader programme.
- Award-winning equality and diversity action which enhances working life for all. 92% of staff tell us that they are treated with fairness and respect (staff survey 2016).
For more information on reward and benefits visit: www.sheffield.ac.uk/jobs/staffbenefits
How to apply
Applications should be made online via www.sheffield.ac.uk/jobs quoting the job reference number.
If you would like to talk to someone informally about this job and the recruiting department, contact:
Professor Guy Brown on firstname.lastname@example.org or on 0114 222 1821.
If you have any administration queries and details on the application process, contact the lead recruiter:
Joanna Lawrence on email@example.com or on 0114 222 1825.
If you need any support with your online application, visit: www.sheffield.ac.uk/jobs/applying