An exciting opportunity has arisen for a graduate with the relevant skill set and knowledge to apply cutting-edge research in data analytics, machine learning, artificial intelligence and natural language processing to document analysis in a corporate context.
In particular, this project aims to develop a novel application of natural language processing for large-scale analysis of disparate unstructured business documents to extract and summarise information, and generate new insights from text to enable more effective workflows within the business and allow for informed decision making.
The project is a collaboration between the University of Hull and C Spencer Ltd. The successful candidate will lead on the technical development of the project. They will be based at C Spencer Ltd and work in close collaboration with an academic supervisor and a company supervisor.
About Knowledge Transfer Partnerships
A Knowledge Transfer Partnership (KTP) is an official collaboration between a university and a business with the purpose of transferring the latest technology and skills from the academic institution into the business in order to create new innovation and business growth in a particular area. KTPs are an Innovate UK scheme. KTPs offer a range of benefits to the Associate including a generous spending budget for travel and personal development.
See here for details:https://www.gov.uk/guidance/knowledge-transfer-partnerships-what-they-are-and-how-to-apply
Specific Duties and Responsibilities of the post
The duties of this post will include:
- To develop a novel approach to large-scale text mining of corporate documents, combining existing techniques in information extraction, topic analysis and text summarisation, and apply them effectively in a corporate context
- To research latest techniques in data analytics, machine learning and natural language processing and apply them in the context of the KTP to plan development and meet milestones and deliverables
- To work closely with the company and expand their skill set and knowledge in the areas of data analytics, machine learning and document analysis
- To develop a strategic and ambitious long-term plan for the use of intelligence document mining within the company, enabling effective workflows and informed decision making
- To develop academic knowledge into commercially viable solutions and demonstrate how they can be effective in an operational corporate context
- To collaborate with academic and company staff, communicating any technical concepts appropriately and effectively to different stakeholders
- To write up results in a technical report or publication (as appropriate)
This project requires excellent programming and software engineering skills and demonstrated experience in successfully designing, developing and implementing larger software projects from scratch in an independent manner. Time management and self-guided learning are essential. Good theoretical and applied knowledge of data analysis, artificial intelligence, machine learning are highly desirable. Skills in natural language processing are a plus. Good communication skills, project management, teamwork and the willingness to acquire an extensive skill set in data analytics are also needed.
Qualification: MSc in Computer Science (first class or 2:1 with industry experience).
Skills and Experience: Excellent programming skills in more than one programming language. Proven theoretical and applied knowledge of distributed computing and software engineering principles.
Attributes: Excellent time management and ability to work in an independent and self-guided manner. Experience in developing and delivering larger software projects from scratch including software planning, design, implementation and testing. Ability to work in a team. Willingness to acquire extensive skill set in machine learning and natural language processing.
Qualifications: PhD in Computer Science in topic area relevant to this project, e.g. data science, artificial intelligence, machine learning, natural language processing.
Skills and Experience: Theoretical and applied knowledge of data processing, machine learning, natural language processing, high-performance computing. Proficiency with TensorFlow, Keras, PyTorch, sk_learn, pandas and other data packages. Experience with academic publishing and a track record of peer reviewed publications. Demonstrated skills in project management. Proven ability to work with large datasets.
Closing Date: 20 Mar 2020
Closing Date: 20 Mar 2020
As a Lecturer in Sport Rehabilitation, you will be based in our dedicated facilities within the Washburn Building. You will be specifically responsible for providing high-quality teaching and support for research within the Sport Rehabilitation programme. Given the clinical/vocational nature of the work, you may be, or able to be registered with a relevant professional body (e.g. BASRaT, CSP, SST, Athletic Training, or equivalent) and able to demonstrate initiative and judgement and to develop specialist knowledge within given areas of responsibility. This post will involve the supervision of undergraduate students, including work placements and final-year dissertations. Clinically qualified post-holders will also contribute to our sports injury and massage clinic.Sport, Health and Exercise Science is a growing department within the Faculty of Health Sciences, University of Hull. Continued investment in facilities, equipment, and high-quality teaching and research staff has helped build our international reputation. Integral to our success has been a dedication to both teaching and research excellence along with top-class facilities.
The availability of state-of-the-art equipment and facilities supported by dedicated technical staff provides numerous teaching and research opportunities for staff and students. Sport Rehabilitation facilities include examination rooms with plinths, diagnostic ultrasound, electrotherapy and access to a large multifunctional laboratory containing multiple force plates, integrated high-speed camera system, EMG, isokinetic dynamometer and computerised dynamic posturography/balance systems.
You should have a minimum 2:1 degree in Sport Rehabilitation or Physiotherapy (or equivalent qualification) and relevant professional accreditation or experience in Sport Rehabilitation, Physiotherapy, Sports Therapy, Athletic Training, (or equivalent). You should have good organisational, interpersonal and communication skills, a student-centred approach and have a passion for scholarship and continued professional development.
If you are ambitious, can contribute to our vision and mission, and have the drive to take us forward, we would be delighted to hear from you.
To discuss this role informally, please contact Dr Grant Abt, Head of Sport, Health & Exercise Science, Email: firstname.lastname@example.org; or Dr Chris Wilcox, Programme Director for Sport Rehabilitation, Email: email@example.com
Closing Date: 13 Mar 2020
Closing Date: 13 Mar 2020