CHAIR IN DATA-ORIENTED SOFTWARE ENGINEERING (Ref: SEN00822)
The University of Leicester is a world-leading institution, marked by a
belief in the synergy of research and teaching. With over 23,000 students,
including 4,300 from overseas, and 3,800 staff, including over 1,200 active
researchers, we believe a university should empower, inspire and innovate.
Under the leadership of our new President and Vice-Chancellor, Professor
Paul Boyle, the University is entering an exciting new phase of development
with an ambitious and transformative agenda for 2020 and beyond.
Based on our strong foundations in research on Semantics, Algorithm Design
and Engineering, Validation and Verification, as well as Software Modelling
and Evolution, the Department of Informatics is building excellence,
capacity and expertise in areas relevant to Data-Driven Applications
* Software Technology and Engineering, to collect, integrate, represent and manage data
* Knowledge Discovery and Machine learning, to analyse data
* Human Computer Interaction and Systems Engineering, to build usable and useful applications
We currently engage in a range of application domains, drawing on strong
interdisciplinary links within our University through the Bioinformatics
Network (BINERI), the research institutes for Medicine (LPMI), Space and
Earth Observation (LISEO), and the network for Computational Social Science.
As part of a flagship investment we are establishing two chairs in
Data-oriented Software Engineering, and Knowledge Discovery and Machine
Learning. These chairs will be supported by the appointment of several
lecturers (the equivalent of assitant professors in the UK system),
recruited under the guidance of the successful candidates for the senior
posts, to create capacity to cooperate with industry and satisfy significant
demand for interdisciplinary projects in the above areas.
In Data-oriented Software Engineering, candidates are expected to show
expertise in one or more of:
* Applied and empirical software engineering
* Architectures and technologies for data collection, management and
integration, incl. cloud storage and computing, IoT and modern database
* Quality and verification of data-driven applications, including
correctness and performance, privacy and fairness properties
A track record in the application of the above in industrial or
interdisciplinary settings is highly desirable.
The roles include an expectation of research excellence and leadership,
development and delivery of teaching in the respective areas as well as
contributions to the management of the department, college and university.
Informal enquiries are welcome and should be made to Reiko Heckel on
[email protected], 0116 252 3406.
The closing date for these posts is midnight GMT on 13th March 2017.
We anticipate that interviews will take place during the week starting 3rd