Benchmark Role Profile for Research Fellow Version 2.0 Last amended: March 2013 THE UNIVERSITY OF NOTTINGHAM Role Profile Form Job Title: Research Associate Bioinformatics/Image Analysis – Two Posts School/Department: School of Computer Science Salary: £28,695 - £37,394 per annum, depending on skills and experience. Salary progression beyond this scale is subject to performance. Job Family and Level: Research and Teaching Level 4 (Appointment will be Level 4 Career training grade where an appointment is made before PhD has been completed) Contract Status: Fixed-term ends 30 June 2016 Hours of Work: Full Time, 36.25h per week Location: Jubilee Campus Reporting to: Professor Tony Pridmore Purpose of the Role: The iPlant Collaborative is a major initiative aimed at creating a software platform that enables a large community of plant biologists to make use of advanced computational tools for research purposes. The University’s School of Computer Science and Centre for Plant Integrative Biology have developed a set of image analysis methods and software tools that have proven effective in extracting quantitative descriptions of plant organs from confocal laser microscope, colour and X-ray Computed Tomography images The purpose of this post is to integrate these tools into the iPlant environment to substantially widened user base and a step-change in the impact that bioimage analysis research and tool development at Nottingham has on plant science both nationally and internationally. Main Responsibilities 1. 4. Provide image analysis expertise and implementation skills to maximise the potential of existing bioimage analysis tools, making them both valuable to and easily usable by a large set of users via iPlant. Re-implement existing code in C or C++ to make best use of the iPlant framework and increase computational efficiency. Interact with iPlant staff to define interfaces between their software framework and Nottingham’s contributions. Support the parallelisation of tools inside the iPlant framework as required. 5. Perform rigorous tests and evaluations of computational tools. 6. 7. Contribute to user interfaces and software documentation. Maintain close contacts with colleagues and with relevant managers, sharing expertise and information to ensure that developments are co-ordinated, and that a coherent development and service environment is maintained. Organise and contribute to internal and external workshops on the use of the iPlant tools for researchers and graduate students Write up research work for publication and/or contribute to the dissemination at national/international conferences, resulting in successful research outputs. 2. 3. 8. 9. Knowledge, Skills, Qualifications & Experience Essential Qualifications/ Education PhD in Computer Science, Bioinformatics, or a related area Skills/Training Ability to develop software in C/C++ Ability to develop software in at least one of Perl, MATLAB, and Python Basic knowledge of image processing and analysis Desirable Experience of image processing, analysis and/or computer vision research Experience of parallel computing and/or interface design Ability to work independently and as part of an interdisciplinary team Effective communication (oral and written) skills Experience Some practical experience of applying the specialist skills, approaches and techniques required for the role. Statutory/Legal Decision Making i) Taken independently by the role holder; Software design/structure Design of any interfaces and parallelisation strategies required ii) Taken in collaboration with others; Choice of software tools and methods used Addition of new and extension of existing bioimage analysis methods and tools iii) Referred to the appropriate line manager by the role holder Wider strategy of our research and development work Purchasing decisions Additional Information The Centre for Plant Integrative Biology (www.cpib.ac.uk) is an interdisciplinary unit bringing together biologists, computer scientists, mathematicians and engineers to address fundamental problems in plant and crop science. The School of Computer Science, and particularly the Computer Vision Laboratory, has been closely involved since CPIB’s inception, addressing a range of image analysis and computer vision problems associated with the recovery of quantitative two and three-dimensional data from various microscope, colour and X-ray computed tomography images of plants. This work has resulted in the production of a range of computational methods and associated software tools, which have been made available to and well-received by the plant and crop science communities. These tools and methods underpin a range of research projects and are central to the operation of the University’s recently opened Hounsfield Facility, a unique resource built around a set of X-ray micro-Computed Tomography scanners and associated automation. These posts provide opportunities to develop our bioimage analysis capability further, significantly increasing its power and uptake by integrating it into the US-developed iPlant environment. The iPlant Collaborative is a major initiative aimed at creating a software platform that enables a wide community of plant biologists to make use of advanced computational tools in order to generate and analyse large data sets. The role holders will join an established and highly regarded interdisciplinary team to help build the first iPlant node outside the US, populating it with appropriately implemented and modified versions of Page 2 of 3 Nottingham’s bioimage analysis tools. Depending on the tool this may involve adapting the core methods used, re-coding in a faster language (C or C++), parallelising computations using iPlant’s framework, adapting the tool to iPlant interfaces, as well as testing and following up on user feedback. The outcome of this project will be a substantially widened user base and a step-change in the impact that bioimage analysis research and tool development at Nottingham has on plant science both nationally and internationally. Page 3 of 3