Current vacancies

Data Scientist (KTP Associate)

The Project

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)

Key requirements: 

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.

Essential criteria: 

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. 

Desirable criteria: 

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
Category: Academic

Lecturer in Sport Rehabilitation

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:  g.abt@hull.ac.uk; or Dr Chris Wilcox, Programme Director for Sport Rehabilitation, Email: c.wilcox@hull.ac.uk

Closing Date: 13 Mar 2020
Category: Academic

NIHR Academic Clinical Lecturer in General Surgery

Applications are invited for the post of NIHR Clinical Lecturer in General Surgery

Hull York Medical School seeks to appoint an NIHR Clinical Lecturer in General Surgery, working within the Academic Vascular Surgical Unit (AVSU).

We are seeking a highly motivated, enthusiastic individual wishing to excel in both their clinical and academic training and who have the ambition to be the next generation of world-leading academic clinicians.  Applications are now invited for an Academic Clinical Lecturer in General Surgery within the Academic Training Programme. This new post has been created as part of the National Co-ordinating Centre for Research Capacity (NIHRTCC) programme of Integrated Academic Training and offers candidates a comprehensive experience of clinical academic medicine working alongside internationally renowned clinicians and researchers.  Applicants for this post must have an existing NTN (or be clinically benchmarked) and be at ST3 level or above and must hold a higher degree (MD, PhD or equivalent) in a relevant subject area.

The Academic Lecturer will continue clinical training at 50% whole time equivalent rate within the Health Education Yorkshire and the Humber.   The appointee will participate in the regional training programme in the Health Education Yorkshire and Humber School of Surgery. As training in surgery 5+ years, an additional period of dedicated clinical training either before or after the Clinical Lectureship may be required. The successful applicant will work with the Training Programme Director and Academic Lead to develop a configuration of research to clinical training conducive to both progression and academic output.

It is anticipated that this post will be based at the Academic Vascular Surgical Unit (AVSU), Hull Royal Infirmary.  The AVSU was established 20 years ago and collaborates with some of the strongest departments within the University of Hull; it has close links with the Hull York Medical School, Department of Health Sciences, University of York, Clinical Departments in the NHS and to industry.  Areas of research include:  Wounds research, Surgical Site Infection, Lower Limb Ulcers and Exercise and Prehabilitation.   

One post is available

Salary for this post will be at the clinical scale, depending on qualifications and experience. 

It is a condition of these posts that satisfactory enhanced disclosure is obtained from the Disclosure and Barring Service.

This post is equally open to those who may, either from the outset or subsequently, wish to train part-time (flexible training), if eligible, or job share. For further information on flexible training please contact Health Education England, Yorkshire and Humber.

All candidates will need to hold full GMC registration with a licence to practise at the time of appointment, and be eligible to practice as a General Practitioner.

Applicants for this NIHR Clinical Lecturer need to either hold a current National Training Number (NTN) for the speciality, or be able to clinically benchmark to be able to take up the post. Clinical benchmarking can be achieved through application for the relevant specialty training within the national recruitment window where the minimal appointable score must be achieved. 

The contract will be with the University of Hull.

Applicants must be able to take up the appointment before 31^st March 2021.

Informal enquiries as appropriate may be addressed to: 

Professor Ian Chetter 

Chair of Surgery

Hull York Medical School

Hull Royal Infirmary 

University of Hull, HU3 2JZ

E mail: Ian.chetter@hey.nhs.uk

Telephone: 01482 675784

Or

Professor Fliss Murtagh

Academic Training Programme Director – North & East Yorkshire and Northern Lincolnshire

Hull York Medical School

Allam Medical Building

University of Hull, HU6 7RX

E mail: fliss.murtagh@hyms.ac.uk 

Telephone: 01482 463164

The Hull York Medical School is an equal partnership between the universities of Hull and York.  It operates in association with the NHS in North and East Yorkshire and Northern Lincolnshire.  For further information about HYMS, visit www.hyms.ac.uk. 

Closing Date: 05 Mar 2020
Category: Clinical Academics

Director of Strategic Planning and Performance

The University wishes to recruit an experienced leader to the post of Director of Strategic Planning and Performance. This is a new Director-level position and the principal purposes are to establish a new approach to data use within the University and to shape a team to deliver that approach. The Director will help the University decide on strategic direction, major initiatives and how to deploy our efforts and resources to best effect.  The Director will also ensure we have a clear view of our performance, against our own plans and compared with our competitors, targeting specific issues that hinder our positioning.  The Director will shape and direct a new Strategic Planning service, developing it into a first-class professional service that supports the University’s strategic endeavours.

Reporting to the Chief Operating Officer and working closely with the Vice-Chancellor and the University Leadership Team, the Director will be strong leader who is able to impact beyond their immediate environment.  This will involve working with staff across the University to identify priorities and to provide resources and support where it is most needed.  With a strong track record in using analysis to shape decision making, the Director will play a key role in determining the University’s approach to planning, its managing of significant projects and developments, and its overall approach to performance management.

Candidates wishing to apply for this post, should complete the short application and upload their CV and a covering letter.

Closing Date: 02 Mar 2020
Category: Professional, Management and Snr Admin

Research Fellow in Low Carbon Heating Systems – Solar Energy Study

Research Fellow in Low Carbon Heating Systems – Solar Energy Study

This post is offered on a 12-month fixed-term basis and is immediately available.  Further extension is possible.

The interdisciplinary Energy and Environment Institute at the University of Hull brings together the skills and capabilities of leading researchers to tackle global challenges related to climate change and population growth and their consequences for society and livelihoods. We work within four themes at the interface between sustainable energy and environmental resilience. The Centre for Sustainable Energy Technologies is one of the most dynamic research units within the University of Hull. The research activities of the Centre, covering sustainable heating and cooling, renewable energy technologies, energy efficiency technologies, smart energy management, as well as green buildings, can effectively contribute to mitigate the global challenges in energy and environment and therefore place significant impact to the UK and worldwide.

The Centre is seeking for a research fellow who will work on a BEIS (Department for Business, Energy & Industrial Strategy) funded project to develop a novel low carbon heating system for UK public buildings, with particular focus on the solar energy development and project management. This system is expected to have around 50% higher system performance factor (SPFH14), 10% lower capital cost, and 20% lower operational cost compared to existing solar assisted heat pump systems of the same capacity, while the associated fossil fuel saving and carbon emission reduction rate of the proposed system will be 15% higher than existing ones. The job context will include computer modelling, prototype design, construction and testing, real site demonstration, as well as economic and environmental performance analysis. In particular, the researcher will be required to develop a novel solar driven heat pump heating system. Furthermore, the preparation of technical reports, organisation of meetings, and liaison of relevant personnel internally and externally are also part of the works involved. From the internal side, the researcher will work with a few research fellows and a technician to complete the planned works as required. 

The researcher will be provided with the work programme and will complete various tasks as outlined in the schedule. The researcher will attend the regular meetings with the supervisors to identify and resolve problems arising, and prepare technical reports as part of the workload. The researcher will also be encouraged to publish papers in refereed journals and international conferences.  

You need to have a PhD degree in Engineering Thermophysics, Mechanical or Renewable Energy Engineering, with excellent experience in proposal writing-up and research application, project management and researcher supervision, laboratory work, as well as computer modelling skill. You are expected to have good communications skills in English. Knowledge in thermo-fluid, heat pump, heating, solar energy, as well as mechanical engineering is also important to this post.

Informal enquiries about this role may be addressed to Professor Xudong Zhao, Email: Xudong.Zhao@hull.ac.uk

For information about the University and Energy and Environment Institute, please visit: https://www.hull.ac.uk/work-with-us/research/institutes/energy-and-environment-institute.aspx

Closing Date: 12 Mar 2020
Category: Researchers

Research Fellow in Low Carbon Heating Systems – Artificial Intelligence Study

This post is offered on a 12-month fixed-term basis and immediately available.  Further extension is also possible.

The interdisciplinary Energy and Environment Institute at the University of Hull brings together the skills and capabilities of leading researchers to tackle global challenges related to climate change and population growth and their consequences for society and livelihoods. We work within four themes at the interface between sustainable energy and environmental resilience. The Centre for Sustainable Energy Technologies is one of the most dynamic research units within the University of Hull. The research activities of the Centre, covering the sustainable heating and cooling, renewable energy technologies, energy efficiency technologies, smart energy management, as well as green buildings, can effectively contribute to mitigate the global challenges in energy and environment and therefore place significant impact to the UK and worldwide.

The Centre is seeking for a research fellow who will work on a BEIS (Department for Business, Energy & Industrial Strategy) funded project to develop a novel low carbon heating system for UK public buildings, with particular focus on the system Artificial Intelligent (AI) control and project management. This system is expected to have around 50% higher system performance factor (SPFH14), 10% lower capital cost, and 20% lower operational cost compared to existing solar assisted heat pump systems of the same capacity, while the associated fossil fuel saving and carbon emission reduction rate of the proposed system will be 15% higher than existing ones. The job context will include computer modelling, prototype design, construction and testing, real site demonstration, as well as economic and environmental performance analysis. In particular, the researcher will be required to develop the novel Artificial Intelligence technologies for the low carbon heating system. Furthermore, the preparation of technical reports, organisation of meetings, and liaison of relevant personnel internally and externally are also part of the works involved. From the internal side, the researcher will work with a few research fellows and a technician to complete the planned works as required. 

The researcher will be provided with the work programme and will complete various tasks as outlined in the schedule. The researcher will attend the regular meetings with the supervisors to identify and resolve problems arising, and prepare technical reports as part of the workload. The researcher will also be encouraged to publish papers in refereed journals and international conferences.  

You need to have a PhD degree in Artificial Intelligence or Computer Science, with good experience in proposal writing-up and research application, project management and researcher supervision, laboratory work, as well as computer modelling skill. You are expected to have good communications skills in English. Knowledge in mathematics, energy efficiency prediction, as well as smart energy is also important to this post.

Informal enquiries about this role may be addressed to Professor Xudong Zhao, Email: Xudong.Zhao@hull.ac.uk

For information about the University and Energy and Environment Institute, please visit: https://www.hull.ac.uk/work-with-us/research/institutes/energy-and-environment-institute.aspx    

Closing Date: 12 Mar 2020
Category: Researchers

PDRA - Theory

Applications are invited for the post of postdoctoral research associate to carry out an exciting EU funded project “Nanophotonic Devices Applying Self-Assembled Colloids for Novel On-Chip Light Sources” (POSEIDON). The PDRA must have a PhD in the Theory of Soft Condensed Matter Physics or related discipline by the date of appointment. Candidates should have strong analytical and computational skills and the ability to work independently. Experience in using of finite element methods would also be highly desirable.

The project follows the award of a €3M EU H2020 Future Emerging Technologies grant (POSEIDON) across 8 institutions in Germany, UK, Spain and the Czech Republic with the aim of using colloidal self-assembly to fabricate nanoscale light sources on a silicon chip for next generation photonic integrated circuits. Working as part of a world-leading multi-disciplinary team comprising Hull (2 PDRAs, this post and an experimental counterpart, and a PhD studentship) and the wider EU consortium, the post holder will be responsible for modelling the self-assembly of colloidal systems in order to establish the design rules for obtaining target plasmonic and metamaterial structures. 

The position will be based in the Department of Physics & Mathematics at the University of Hull which has a thriving research culture with a mix of experimental and theoretical groups encompassing condensed matter physics, applied physics and astrophysics. 

This is a fixed term position of 24 months. The terms of the grant that fund this position require that employment commences no later than 30 June 2020. UK/EU and other nationals are eligible to apply for this position.

To discuss this role informally, please contact: Dr Martin Buzza (Tel: +44-1482-466420; e-mail d.m.buzza@hull.ac.uk)

Closing Date: 03 Mar 2020
Category: Researchers