Science and Technology Facilities Council
The Hartree Centre is a department within the National Laboratories of the Science and Technology Facilities Research Council. It was officially opened by the Chancellor of the Exchequer in February, 2013.
The Hartree Centre undertakes research, development and deployment activities in the computational sciences (e.g. High Performance Computing, Big Data Analytics and Artificial Intelligence) to deliver economic impact and value to industry clients, research bodies and the public sector.
This impact is delivered through:
- Collaborative R&D
- Software development and optimisation
- Training & Skills
- Platform as a Service (PaaS)
Hartree works with industry clients across all industry sectors and to date has also delivered services to 42 UK Universities enabling their research activities.
Hartree has a number of key collaborations with industry, including a collaborative research agreement with IBM Research. The 5 year programme is a government investment of £113M to establish a new STFC/IBM Research collaboration focussing on ‘HPC, Data Centric and Cognitive Computing’. With an increased pipeline of projects and growing portfolio of clients the team now must recruit in order to maintain successful project delivery in areas of big data analysis, natural language processing and machine learning.
We now seek to recruit data scientists to join the growing Data Science Group. With IBM Research and our industry partners, we are collaboratively developing tools, frameworks and applications to accelerate the adoption of emerging technologies. The postholder will work on a variety of projects for the Hartree Centre, in the general area of data analysis and machine learning. There is also the opportunity to collaborate with other Hartree Centre teams who work on artificial intelligence, high-performance computing and software engineering.
Initial work will take forward opportunities in a variety of sectors: during the previous year the group has worked on life sciences, healthcare, manufacturing and finance among other topics. We have worked with a variety of businesses from small start-ups to large multinationals.
- Help define workplans for specific Hartree Centre projects, in collaboration with business development personnel and client subject matter experts.
- Identify appropriate technologies and design appropriate technology solutions.
- Learn and apply data centric, analytics and AI technologies.
- Look at validation of conclusions, and presentation of results to customers (including advanced visualisation).
- Make site visits to commercial and academic partners.
- Publish non-confidential results to build Hartree and your own profiles in the community.
Contacts and Communication
The postholder will join a team of Data Scientists within the Hartree Centre, at STFC Daresbury Laboratory. They will work closely with an expanding IBM Research team based at the Daresbury site. They will work with business development colleagues to develop collaborations with industrial partners and public agencies. In progressing Hartree Centre projects, there will be technical help from systems and project support teams in the department.
The Hartree Centre works closely with industrial clients on specific projects, and the postholder will also contribute to these projects as needed. Some of the work will be commercial in confidence and subject to IPR rules around public disclosure. The role will involve working closely with teams within commercial companies.
Personal Skills and Attributes
The ideal candidate will have experience in analysing data and using tools such as R or Python. While support from other members of the department is available, the candidate should have a basic knowledge of coding, software engineering and statistics. Demonstration of knowledge and/or experience in machine learning, statistical analysis or artificial intelligence will be a distinct advantage.
The candidate will need to work on diverse projects, so should have good communication skills, in particular the ability to communicate effectively with colleagues from a variety of backgrounds, collaborators, and clients. Hartree Centre projects are be solution-focused, so the candidate must be able to work to a plan and within a deadline.
http://www.stfc.ac.uk/hartree (Hartree Centre)
http://www.stfc.ac.uk/SCD (Scientific Computing Department)
http://www.scd.stfc.ac.uk/SCD/research/app/CE+Folder/44392.aspx (Computational Engineering group)
The below criteria will be assessed at Shortlisting (S), Interview (I) or both (S&I):
- Degree in a mathematical, scientific, or computer science discipline. (S)
- Experience of data analysis, utilizing a range of compiled and scripting languages. (S&I)
- Experience applying mathematics and statistics. (S&I)
- Demonstrable ability to master new tools and technologies.(S&I)
- Excellent verbal and written communication skills. (S&I)
- Good time management and ability to deliver against work plans. (S&I)
- Able to work with industrial clients. (S&I)
- Can work as part of a team and independently. (S&I)
- Able to travel in the UK and occasionally abroad.(S)
- Masters degree or PhD in engineering, mathematics or other relevant discipline. (S)
- Industrial or commercial experience of solving business problems using data. (S)
- Experience of working as a member of project teams, preferably on software or cross-disciplinary projects. (S&I)
- Good background in applications of statistical methods.(S&I)
- Experience of big data problems (volume, velocity and variety) and solutions (e.g. MapReduce, Spark).(S&I)
- Experience of data visualisation. (S&I)
- Experience of image processing methods, such as convolutional neural networks. (S&I)
- Knowledge of and/or experience with machine learning methods. (S&I)
- Excellent influencing and presentation skills and able to proactively listen to capture user requirements. (S&I)
- Experience of working with commercial partners or within a commercial research environment. (S&I)
- Knowledge of good coding and practice, for example version control or test-driven development. (S&I)
The Science and Technology Facilities Council is a world-leading multi-disciplinary science organisation where curiosity-driven, blue-skies thinking meets practical, application-led science and engineering. Our goal is to deliver economic, societal, scientific and international benefits to the UK and its people – and more broadly to the world.
One of Europe’s largest research organisations, we’re trusted to support, enable and undertake cutting-edge projects in an amazing diversity of fields. Through world-class facilities and people, we’re driving ground-breaking advances in science, engineering, computing and technology. Our research seeks to understand the Universe from the largest astronomical scales to the tiniest constituents of matter, yet creates impact on a very tangible, human scale.
For more information about STFC please visit https://stfc.ukri.org/
You can also visit our careers site https://www.stfccareers.co.uk/How to Apply
Online applications only for this role. Please submit your CV and a covering letter which clearly outlines how you fulfil the criteria specified along with your motivation to join STFC and the role you’re applying for. Ensure that the job reference number is included in the filename description of each document uploaded. Note that failure to address the above criteria or submit your application without a covering letter may result in your application not being considered.About UKRI
Launched in April 2018, UKRI is a non-departmental public body sponsored by the Department for Business, Energy and Industrial Strategy (BEIS). UK Research and Innovation brings together the seven disciplinary research councils, Research England, which is responsible for supporting research and knowledge exchange at higher education institutions in England, and the UK’s innovation agency, Innovate UK.