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Position: Computational Scientist in Extreme Scale Computing
Institution: Science and Technology Facilities Council
Location: United Kingdom
Duties: Building computational models of components, products and processes Help commercial partners understand how to model uncertainties and adopt complex models, especially multilevel, multi-scale ones as well as adopt efficient techniques for model coupling; Support our partners integrate hierarchical and multilevel modelling approaches that enable efficient integration of novel AI methods in their applications; Working with Business Development on project scoping, in particular identifying appropriate objectives to address client challenges, and feasibility assessment of technologies required to meet objectives and support our business development managers with technical pre-sales; Learn and apply HPC, data centric, analytics and AI technologies; Look at validation of conclusions, and presentation of results to customers (including advanced visualisation)
Requirements: A PhD or equivalent professional experience at least two areas with relevance to extreme scale computing, Computational Science and engineering; Experience with a compiled language such as C/C++ or Fortran; Experience using modelling and simulation (finite element or CFD software etc); Large scale distributed memory algorithms; Heterogenous/accelerated computing; Stochastic methods (Monte Carlo etc) and approaches for diverse problems (optimization, Linear Algebra, multi-level, multi-scale problems, etc)
   
Text: Recruiting for UKRI and UK SBS Careers Portal Jobs Help Cookies Computational Scientist in Extreme Scale Computing ???? Warrington, Cheshire, England ???? Scientific Computing ???? Sep 07, 2021  210000PH Computational Scientist in Extreme Scaling Location: Daresbury Laboratory- Warrington Positions Available: 2 x Open Ended & 2 x 4 Year Fixed Term Contracts Salary: Band D £31,931 - £34,709 or Band E £39,748 - £44,166 Gross per Annum (Dependant on Experience) * Reports To: Chief Science Officer Hours: Full-time (We understand the importance of work-life balance, and are happy to discuss the possibility of flexible working with applicants) *These roles are eligible for a Responsibility and Retention allowance- Band D £1,000 and Band E £1,500 Closing Date: 28th September 2021 The Hartree Centre: Smarter Innovation at Scale At the Hartree Centre we want to see UK businesses outperform their global competitors. Our Aim is to grow the economy, create skilled jobs and train people to excel. We are making all this happen and more, by helping UK industry to be at the forefront of technical innovation with the use of the latest Digital, High Performance Computing (HPC), Big Data and Artificial Intelligence (AI) technologies. We have a technically exciting computing environment, encompassing a wide range of hardware and software. Our staff are key to our success and we value them highly. Our Centre’s leadership and impact is further enhanced by Hartree National Centre for Digital Innovation, our collaboration with UKAEA and our growing national and international collaborations with industry and academia. To achieve this, we are working collaboratively across five core areas: Proof of technology, collaborative research and development, software development and optimization, platform as a service and training and skills development. By making our capabilities and intellectual property the easiest and simplest in the world to access for UK companies and institutions we are establishing a world-leading position in data-driven intellectual property. We are improving competitive advantage and productivity for our clients, partners and the wider community and developing the UK skills-base in future technologies. High value manufacturing and engineering is an important area for us as a major contributor to the UK economy it employs a high percentage of highly skilled workers driving innovation. More specifically these industries have a significant and growing appetite for high performance computing, data analysis, artificial intelligence and visualisation. We are located at the Daresbury laboratory and have a successful track record in modelling, simulation, application performance engineering and data analysis for multiple world class organisations including Rolls-Royce, EDF Energy, Dyson, Jaguar Landrover, Bentley, BAR, Unilever, and Schlumberger. Reasons our staff enjoy working for us: 30 days’ annual leave plus 10.5 public and privilege days Flexible working hours scheme Defined benefit pension scheme (employer contribution - currently up to 26%) There are different active sport and social groups across campus with access to an on-site gym for staff Personal development is key. You will work with your line manager to develop your own Learning and Development plan each year We value collaborative working across STFC and with our external collaborators such as IBM Research, The University of Liverpool’s Virtual Engineering Centre, Atos, NVIDIA, Unilever and many more Our offices are a mixture of open-plan and smaller, shared spaces with a variety of catering services available on the local campus Our state-of-the-art Sci-Tech Daresbury campus is lively and dynamic, co-locating a number of exiting high-tech SMEs and multi-disciplinary sci-tech collaborations Diversity and inclusion are important to us. UKRI has a corporate policy on Equality and Diversity which is supported by a Diversity Forum and implementation group. The Role: The continuing success of the Hartree Centre means we are looking to recruit hardworking and enthusiastic Computing Scientists to work on ground-breaking projects across high performance computing, big data analytics, and AI. The successful candidate will be working with the latest architectures and technologies to meet the needs of UK industry. If successful you will join a well-established and expanding team of extraordinary Computational Scientists and High-Performance Software Engineers within our Centre, with an expanding IBM research team at STFC. You will work with business development personnel to develop collaborations with industrial partners and public agencies. We work closely with industrial clients on specific projects, and you 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 may involve working closely with teams within commercial companies. Your responsibilities include but are not limited to: Building computational models of components, products and processes Help commercial partners understand how to model uncertainties and adopt complex models, especially multilevel, multi-scale ones as well as adopt efficient techniques for model coupling Support our partners integrate hierarchical and multilevel modelling approaches that enable efficient integration of novel AI methods in their applications Working with Business Development on project scoping, in particular identifying appropriate objectives to address client challenges, and feasibility assessment of technologies required to meet objectives and support our business development managers with technical pre-sales Learn and apply HPC, data centric, analytics and AI technologies Look at validation of conclusions, and presentation of results to customers (including advanced visualisation) Contributing and writing project applications for funding from national and international competitions Project management across a range of project sizes and types, typically involving members from other groups within Hartree (including Research Software Engineering, HPC, AI and Data Science) Make site visits to commercial and academic partners Publish non-confidential results. Personal Skills and Attributes A vital part of the Hartree Centre’s mission is to help companies reap the benefits of digitalisation and computer aided design. You will be required to support both large corporations and SMEs to help them understand the benefits of modelling and simulation techniques. This will involve building computational models of their products or processes and deploying them on HPC infrastructure to deliver business insight. Applying advanced scalable hybrid stochastic/deterministic methods and AI technologies to enhance existing modelling techniques will be a major avenue of investigation. You will be a graduate in an appropriate discipline, preferably with a relevant graduate or postgraduate qualification in a computing, Computational Science, engineering or related discipline, and have experience in computational modelling such as computational fluid dynamics and finite element methods or modelling complex systems/phenomena using stochastic and/or hybrid methods. As a Band D/E, you will be expected to be able to contribute to the scoping and development, management and delivery of projects based on your understanding of state-of-the-art in computational modelling and extreme scale computing. With a diverse portfolio of projects, an ability to have informed discussions with scientists, industrial clients and academic colleagues from different domains is crucial. Our projects are solution-focused, so you must be able to work to a plan and within a timeframe. For this position, you will also need to demonstrate skills and experience in leading small (Band D) to medium sized (Band E) projects. Clear understanding and experience of implementing different project management methodologies will be an advantage. Person Specification Essential Degree in a computing or engineering subject area with a strong mathematics component (S&I) A PhD or equivalent professional experience at least two areas with relevance to extreme scale computing, Computational Science and engineering (S&I) [Required for band E] Experience with a compiled language such as C/C++ or Fortran (S&I) Experience using modelling and simulation (finite element or CFD software etc) (S&I) Experience in at least two of the following [Required to qualify for band E] Large scale distributed memory algorithms (S&I) Heterogenous/accelerated computing (S&I) Stochastic methods (Monte Carlo etc) and approaches for diverse problems (optimization, Linear Algebra, multi-level, multi-scale problems, etc) Model uncertainty quantification (S&I) Able to work with a range of clients. (I) Strong leadership skills with previous experience and ability to lead, motivate and develop others. (S&I) [Required to qualify for band E]. Can work as part of a team and independently (I) Able to travel in the UK and occasionally abroad (I) Interest in technical pre-sales (I) Desirable Relevant post graduate qualification such PhD (S&I) Technical pre-sales experience (I) Experience with open source modelling packages such as OpenFOAM (I) Industrial/commercial experience (S&I) Knowledge of HPC and parallel software development (S&I) Knowledge of AI technologies (S&I) Excellent verbal and written communication skills. (S&I) About STFC 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 preferred 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. You will only be assessed on the content of your CV and covering letter and not the ‘experience’ section of the application. About UKRI Launched in April 2018, UKRI is a non-departmental public body sponsored by the Department for Business, Energy and Industrial Strategy (BEIS). Our organisation 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 to create an independent organisation with a strong voice for research and innovation, and a vision to ensure the UK maintains its world-leading position in research and innovation. More information can be found at www.ukri.org. How we support EDI in the workforce At UKRI we believe that everyone has a right to be treated with dignity and respect, and to be provided with equal opportunities to flourish and succeed in an environment that enables them to do so. We also value diversity of thought and experience within inclusive groups, organisations and the wider community. For further information, please visit ‘How we support EDI in the workforce’ Disability Confident Employer As a Disability Confident employer, UKRI will offer an interview to a fair and proportionate number of disabled applicants that meet the minimum criteria for the job (this is the description of the job as set by the employer). To enable us to do this we ask the appropriate questions within the candidate application. For more information on this scheme, click here. Additional Information Organisation: Science and Technology Facilities Council (STFC) - Hartree Centre Contract Type: Open Ended External Closing Date: Sep 28, 2021 Minimum Salary: Pound Sterling (GBP) 31,931 Hours: Full-time / Part-time My Profile Sign in to manage your profile. My Submissions Sign in to track your Submissions. 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