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Position: Research Fellow in Machine Learning and Data Science
Institution: University of Surrey
Department: Department of Electrical & Electronic Engineering
Location: Guildford, Surrey, United Kingdom
Duties: The main responsibility of the post holder will be the development and implementation of new algorithms, machine learning based prediction tools for object/scene understanding, video activity detection in video streams with real-time operational conditions. In addition, post holder is expected to explore the usage of machine learning algorithms for a wider range of applications (e.g., data/video compression, agricultural data analysis etc., ) for pattern recognition
Requirements: A doctoral degree in a relevant engineering discipline (although individuals who have almost completed a doctoral degree may be appointed). Considerations may also be given to individuals who do not hold a doctoral degree but have required skills based on a number of years of experience in specified/relevant fields. An excellent mathematical and programming background related to supervised, unsupervised, and semi-supervised machine learning techniques. Experience in C/C++ programming, Python, and Deep Learning frameworks such as Tensorflow, Caffe, CNTK etc. Knowledge and experience in working with GPU computing with CUDA. Experience in utilising machine learning techniques for object/scene recognition, video activity detection, video context understanding. Experience in working with national/international collaborative research projects. Knowledge in signal processing techniques for video processing and content analysis. Excellent scientific writing skills and a high proficiency in English. Strong interpersonal skills
   
Text: Research Fellow in Machine Learning and Data Science Department of Electrical & Electronic Engineering Location: Guildford Salary: £30,688 to £38,833 per annum plus benefits Fixed Term Contract until 31/08/2020 Post Type: Full Time Advert Placed: Thursday 02 August 2018 Closing Date: Sunday 09 September 2018 Interview Date: To be confirmed Reference: 060518 Job summary and purpose: The main responsibility of the post holder will be the development and implementation of new algorithms, machine learning based prediction tools for object/scene understanding, video activity detection in video streams with real-time operational conditions. In addition, post holder is expected to explore the usage of machine learning algorithms for a wider range of applications (e.g., data/video compression, agricultural data analysis etc., ) for pattern recognition Main responsibilities and activities: Manage and drive and have a negotiable degree of direct involvement in the collection of data from the field as well as responsibility for managing the inputs from other partner organizations Liaising closely and regularly with other members of the research group at Centre for Vision, Speech and Signal Processing (CVSSP) and with the European investigators in the CONTENT4ALL project. Produce materials for project deliverables, dissemination of the results of the project at scientific meetings Contribute to preparation and submission of research proposals Conduct independent research to support project dissemination plans Supervise undergraduate/postgraduate students Post holder must have: A doctoral degree in a relevant engineering discipline (although individuals who have almost completed a doctoral degree may be appointed). Considerations may also be given to individuals who do not hold a doctoral degree but have required skills based on a number of years of experience in specified/relevant fields. An excellent mathematical and programming background related to supervised, unsupervised , and semi-supervised machine learning techniques Experience in C/C++ programming, Python, and Deep Learning frameworks such as Tensorflow, Caffe, CNTK etc. Knowledge and experience in working with GPU computing with CUDA Experience in utilising machine learning techniques for object/scene recognition, video activity detection, video context understanding Experience in working with national/international collaborative research projects Knowledge in signal processing techniques for video processing and content analysis Excellent scientific writing skills and a high proficiency in English Strong interpersonal skills Desirable skills: Application of machine learning techniques for multimedia communication domain, including areas such as video coding, data compression Application of machine learning techniques for biology, bioinformatics, agriculture data analysis etc. Post holder must be Willing and able to travel internationally Able to work independently Able to operate efficiently in an interdisciplinary and international research team For informal queries please contact Dr Fernando (Reader-CVSSP) at w.fernando@surrey.ac.uk , please apply online through the button below. Please note, it is University Policy to offer a starting salary equivalent to Level 3.6 (£30,688) to successful applicants who have been awarded, but are yet to receive, their PhD certificate. Once the original PhD certificate has been submitted to the local HR Department, the salary will be increased to Level 4.1 (£31,604).
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