Research evaluation Work, Jobs in Abingdon (with Salaries)

Scientist for Ensemble Modelling
ECMWF —Reading
- £76,384 a year
- Remote
- English
- Analysis skills
- Bachelor's degree
13d
Research and Development Engineer - CEMA
Thales —Reading
- Full-time
- C++
- Annual leave
- Employee assistance programme
Principal Radiation Protection Scientist
UK Health Security Agency —Didcot
- £58,340 - £68,574 a year
- Part-time
- Doctoral degree
- Presentation skills
- Travel
Plasma Control Engineer
UK Atomic Energy Authority —Abingdon
- £43,703 a year
- Full-time
- Hybrid work
- Doctoral degree
- Engineering
- Software development
- Annual leave
- Employee assistance programme
Quick apply
5d
Drainage Modeller
HR Wallingford —Wallingford
- Bachelor's degree
- AI
- Life insurance
Quick apply
RF Research Engineer
Thales —Reading
- Full-time
- Annual leave
- Employee assistance programme
Senior Clinical Technology Specialist
IQVIA —Reading
- Full-time
- Remote
- Analysis skills
- Bachelor's degree
- SharePoint
- Work from home
Senior Data Scientist
MarketCast UK —Reading
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
- Annual leave
- Flexitime
Quick apply
Sr. Manager, Site Budgets and Contracts
Moderna, Inc. —Oxford
- Full-time
- Travel
- Annual leave
Applied AI Engineer (.NET/C#)
KERRIDGE COMMERCIAL SYSTEMS CORP —Hartshill
- Full-time
- Master's degree
- Software development
- In-person
Quick apply
AI Transformation Lead
OMass Therapeutics —Oxford
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
- Scripting
- Annual leave
Quick apply
12d
SVP Regulatory Affairs & Quality Assurance
PrecisionLife Ltd —Oxford
- £85,000 - £105,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
- Free parking
- Annual leave
Quick apply
11d
Senior Scientist I – Biocompatibility
Abbott Laboratories —Witney
- Full-time
- Microsoft Word
- Doctoral degree
- Engineering
Solution Engineer - UK
Neural Concept —Oxford
- Full-time
- Hybrid work
- Engineering
- English
- Machine learning
- Flexible schedule
Procurement Lead
Smiths News —Swindon
- £50,000 - £55,000 a year
- Continuous improvement
- Leadership
- Communication skills
- Free parking
- Referral programme
11d
Market Research Interviewer – Car Required – Full Time
IpsosmoriTelephone —Reading
- £23,000 a year
- Full-time
- No experience needed
- Communication skills
- Time management
- Employee discount
Consultant Clinical Psychologist
Oxford University Hospitals NHS Foundation Trust —Oxford
- £79,504 - £91,609 a year
- Part-time
- Rehabilitation centre
- Paediatrics
- Teaching
7d
Lead Optical Engineer
ASSA ABLOY —Reading
- Part-time
- Master's degree
- Bachelor's degree
- Travel
- Annual leave
Research Software Engineer – Forecast Verification
ECMWF —Reading
- £76,384 a year
- Remote
- English
- Bachelor's degree
- No degree
4d
AI Software Engineer
KERRIDGE COMMERCIAL SYSTEMS CORP —Hartshill
- Full-time
- Master's degree
- Software development
- In-person
Quick apply

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Scientist for Ensemble Modelling

ECMWF
Reading

Apply Now

Job details

£76,384 a year
13 days ago

Qualifications

French
English
Analysis skills
Bachelor's degree
Organisational skills
AI
Communication skills
German

Full job description

Your role

Ensemble prediction is central to ECMWF’s operational forecasts and products. Reliable probabilistic forecasts enable users in Member and Co-operating States and beyond to understand forecast uncertainty and make better-informed decisions.

We are seeking a Scientist in the newly-formed Ensemble Modelling Team to work on ECMWF’s operational ensemble prediction systems across medium-range to seasonal timescales. The role will contribute to improving and maintaining ensemble configurations used in operations, leveraging physics-based, AI-based and hybrid approaches.

You will work on ECMWF’s operational IFS ensemble forecasts, with a particular focus on the representation of model uncertainty through the stochastically perturbed parametrisations scheme. You will also contribute to ECMWF’s operational AIFS ensemble forecasting capability and to hybrid ensemble configurations, including nudged ensembles.

You will also work on the representation of initial-condition uncertainty for the operational ensemble systems, using singular vectors and initial conditions from the ensemble data assimilation system.

More broadly, the role will involve numerical experimentation, testing and implementation of ensemble system upgrades, supporting robust operational configurations, and preparing training datasets.

About the Ensemble Modelling Team

The Ensemble Modelling Team will be part of the Earth System Modelling Section in ECMWF’s Research Department. It will consolidate and advance ECMWF’s operational ensemble prediction systems across medium-range, sub-seasonal, seasonal and longer-range applications.

The team will be responsible for ensemble configuration design, initialisation, representation of model and initial-condition uncertainty, calibration and reliability. Its work will span physics-based, AI-based and hybrid systems, sharing methods across timescales where relevant and tailoring approaches to different prediction ranges where needed.

The team will also maintain, support and further advance ECMWF’s operational ensemble systems, using numerical experimentation to guide improvements and address issues that may arise in operations. It will work with colleagues across data assimilation, atmospheric, ocean and land modelling, machine learning, evaluation, forecast production and user services to support the delivery of world-leading ensemble predictions.

Your responsibilities

You will:

Enhance the representation of model uncertainty in IFS ensemble forecasts, including through the stochastically perturbed parametrisation scheme
Contribute to the improving AIFS and nudged ensemble configurations, including through the preparation of training datasets and the design of calibrated ensemble systems
Optimise the initialisation and representation of initial-condition uncertainty in ensemble forecasts across forecast lead times from days to seasons, including through singular vectors and use of initial conditions from the ensemble data assimilation system
Design numerical experiments, analyse results and implement robust code, while maintaining operational configurations and resolving emerging issues in the operational systems
Collaborate across ECMWF and with Member and Co-operating States to advance operational ensemble prediction systems, representing ECMWF where appropriate

What we are looking for

We are looking for someone who combines strong scientific expertise relevant to the role with a practical approach to developing operational forecasting systems. You are interested in working across physics-based, AI-based and hybrid ensemble prediction.

You understand probabilistic methods, statistical techniques and physical processes, and have the technical expertise needed to develop stable and resilient operational model configurations.

You will bring:

Excellent analytical and problem-solving skills, with the ability to connect theoretical understanding with practical model development
A rigorous and proactive approach to improving forecasting methods and code
An ability to work independently while collaborating effectively with colleagues across different areas, supported by clear communication skills
Strong organizational skills, including the ability to manage competing priorities and deliver high-quality work when timelines are constrained
A commitment to documenting methods, code and results

Your profile

Education

An advanced university degree or equivalent professional experience, in a relevant field

Essential experience and knowledge

Experience in Earth-system modelling, with a good understanding of physical processes which influence predictions on timescales from days to seasons ahead
Experience with stochastic methods used in probabilistic forecasting, including stochastic parametrisation schemes
Experience developing ensemble prediction systems for medium-range, sub-seasonal or seasonal timescales
Strong programming and data-analysis skills, with experience developing scientific software, conducting large numerical experiments in high-performance computing environments, and maintaining robust model configurations

Desirable experience and knowledge

Experience with AI-based ensemble forecasting systems
Experience with relevant methods for representing initial-condition uncertainty

Languages

Candidates must be able to work effectively in English. A good knowledge of one of the Centre’s other working languages (French or German) is an advantage.

If this role interests you and you meet several, but not all, of the criteria, we still encourage you to apply.

About ECMWF

The European Centre for Medium-Range Weather Forecasts (ECMWF) is a world leader in Numerical Weather Predictions providing high-quality data for weather forecasts and environmental monitoring. As an intergovernmental organisation we collaborate internationally to serve our members and the wider community with global weather predictions, data and training activities that are critical to contribute to safe and thriving societies.

The success of our activities depends on the funding and partnerships of our 35 Member and Co-operating States who provide the support and direction of our work. Our talented staff together with the international scientific community, and our powerful supercomputing capabilities,are the core of a 24/7 research and operational centre with a focus on medium and long-range predictions. We also hold one of the largest meteorological data archives in the world.

Our vision: World-leading monitoring and predictions of the Earth system enabled by cutting-edge physical, computational and data science, resulting from a close collaboration between ECMWF and the members of the European Meteorological Infrastructure, will contribute to a safe and thriving society

Our mission: Deliver global numerical weather predictions focusing on the medium-range and monitoring of the Earth system to and with our Member States

In addition, ECMWF has established a strong partnership with the European Union and has been entrusted with the implementation and operation of the Destination Earth initiative and the Climate Change and Atmosphere Monitoring Services of the Copernicus Programme, as well as being a contributor to the Copernicus Emergency Management Service. Other areas of work include High Performance Computing and the development of digital tools that enable ECMWF to extend provision of data and products covering weather, climate, air quality, fire and flood prediction and monitoring.

ECMWF is a multi-site organisation, with its headquartersin Reading, UK, a data centre in Bologna, Italy, and a large presence in Bonn, Germany as a central location for our EU-related activities.ECMWF is internationally recognised as the voice of expertise in numerical weather predictions for forecasts and climate science.
www.ecmwf.int
About Copernicus copernicus.eu
About Destination Earth destine.ecmwf.int

Other information

Grade remuneration: The successful candidates will be recruited according to the scales of the Co-ordinated Organisations. In addition to basic salary, ECMWF also offers an attractive benefits package. Information about working with us and full details of salary scales and allowances are available on the ECMWF website at:

www.ecmwf.int/en/about/jobs/working-ecmwf.

Starting date: asap

Location: Reading, UK or Bonn, Germany (Candidates are expected to relocate to the duty station)

Remote work: As a multi-site organisation, ECMWF has adopted a hybrid organisation model which allows flexibility to staff to mix office working and teleworking. We allow for remote work 10 days/month away from the office, including up to 80 days/year away from the duty station country (within the area of our member states and co-operating states).

Interviews by videoconference (MS Teams) interviews will be conducted in English and are expected to take place approximately a month after the closing date.

Successful applicants and members of their family forming part of their households will be exempt from immigration restrictions.

If you require any special accommodations in order to participate fully in our recruitment process, please let us know. To contact the ECMWF Recruitment Team, please email [email protected].

Who can apply

Applicants are invited to complete the online application form by clicking on theapplybutton below.

At ECMWF, we consider an inclusive environment as key for our success. We are dedicated to ensuring a workplace that embraces diversity and provides equal opportunities for all, without distinction as to race, gender, age, marital status, social status, disability, sexual orientation, religion, personality, ethnicity and culture. We value the benefits derived from a diverse workforce and are committed to having staff that reflect the diversity of the countries that are part of our community, in an environment that nurtures equality and inclusion.

Applications are invited from nationals from ECMWF Member States and Co-operating States.

ECMWF Member and Co-operating States are: Austria, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, Estonia, Finland, France, Georgia, Germany, Greece, Hungary, Iceland, Ireland, Israel, Italy, Latvia, Lithuania, Luxembourg, Montenegro, Morocco, the Netherlands, Norway, North Macedonia, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Türkiye and the United Kingdom.

In these exceptional times, we also welcome applications from Ukrainian nationals for this vacancy (note: ECMWF will not be able to assist with leaving the country). Applications from nationals from other countries may be considered in exceptional cases.

Apply Now

Refine Your Search

research evaluation jobs in abingdon

Scientist for Ensemble Modelling

Research and Development Engineer - CEMA

Principal Radiation Protection Scientist

Plasma Control Engineer

Drainage Modeller

RF Research Engineer

Senior Clinical Technology Specialist

Senior Data Scientist

Sr. Manager, Site Budgets and Contracts

Applied AI Engineer (.NET/C#)

AI Transformation Lead

SVP Regulatory Affairs & Quality Assurance

Senior Scientist I – Biocompatibility

Solution Engineer - UK

Procurement Lead

Market Research Interviewer – Car Required – Full Time

Consultant Clinical Psychologist

Lead Optical Engineer

Research Software Engineer – Forecast Verification

AI Software Engineer

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