School of Computer Science and Electronic Engineering (CSEE)
KTP
Knowledge Transfer Partnerships (KTPs) are a unique UK-wide activity that help businesses to improve their competitiveness and productivity by making better use of the knowledge, technology and skills within universities, colleges and research organisations.
Further information is available at: www.ktponline.org.uk
THE PROJECT
The University of Essex in partnership with Firza Ltd offers an exciting opportunity to a graduate with the relevant skills and knowledge to develop an AI-driven Primary Care Workflow Automation System to collect, process and act upon patient data, using Natural Learning Processing (NLP), Computer Vision (CV) and Machine Learning (ML) techniques.
DUTIES OF THE POST
The duties of the post will include:
* Investigation of machine learning, OCR and text classification techniques.
* Design and development of an automated document classification system for classifying scanned and electronic medical patient document types and information sources.
* Development of pipeline processes combining document image recognition, document classification, text analysis and knowledge extraction components using external medical data metathesaurus and semantic networks /ontologies.
* Investigation of probabilistic and fuzzy logic techniques for inexact text terms matching and risk assessment pertaining extracted and classified medical information.
* Development of advanced document classification, text extraction and patient risk assessment.
* Pro-processing and compiling medical domain datasets for evaluating the integrated documentation classification system.
* Preparing academic papers and patents applications.
KEY REQUIREMENTS
The post holder must have:
* BSc in Computer Science or a related discipline.
* A higher degree in Statistics, Computer Science, Data Science, Mathematics or a related discipline, or equivalent qualification, or equivalent industry experience.
* Commercial experience in applied data science techniques - preferably in healthcare.
* Good theoretical and applied knowledge of mathematical methods for data science, including foundational topics such as calculus, linear algebra, statistics and optimisation.
* Good knowledge of Python and the relevant data science Python stack (Numpy, Scikit-learn, Scipy, Xgboost).
* Good knowledge of Neural Networks and the relevant Python libraries (e.g. Keras, Lasagne, Tensorflow, Theano).
* Excellent programming skills.
* Excellent communication and interpersonal skills.
LOCATION
Firza Ltd
Office 7,
Innovation House,
Discovery Park,
Sandwich,
CT13 9ND
At the University of Essex, internationalism and diversity is central to who we are and what we do. We are committed to being a cosmopolitan, internationally oriented university that is welcoming to staff and students from all countries, faiths and backgrounds, where you can find the world in one place.
To support this commitment we have our Global Forum, a staff-led network that promotes and celebrates the rich cultural diversity among Essex staff, and our Colchester campus based Faith Centre, which hosts regular services, meetings and events organised by our chaplains and faith representatives. For more information see: https://www.essex.ac.uk/life/student-facilities/religion-and-faith
Please see the attached job pack, which contains a full job description and person specification which outlines the full duties, skills, qualifications and experience needed for this role plus more information relating to the post. We recommend you read this information carefully before making an application. Applications should be made on-line, but if you would like advice or help in making an application, or need information in a different format, please telephone the Resourcing Team (01206 876559).
*More information: Working at the University