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    Sr. Numerical Weather Prediction Specialist - Barcelona, España - Mitiga Solutions

    Mitiga Solutions
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    Descripción

    Who we are

    Climate change is causing deep uncertainty at all levels of society, reducing the security of all land-based assets and posing a multi-level security threat for the functioning of enterprises, societies, and governments.

    Mitiga employs cutting-edge science and technology to mitigate the risks posed by climate-driven perils. And we need your help.

    Who you are

    For our growing atmospheric hazard modelling team, we are seeking two seasoned Numerical Weather Prediction Specialists, one with expertise in statistical downscaling and bias correction techniques and one with expertise in atmospheric dynamics related to extreme events.

    As an expert in atmospheric dynamics, physical modelling, and/or statistical downscaling, you will play a key role in accelerating our business with an environmental impact.

    You're an expert and you have honed your skills through a Ph.D. degree in atmospheric sciences, meteorology, atmospheric physics and dynamics, or related field, or a master's degree complemented by a long track record of experience. It would be great if you also have experience working with large-scale computing platforms (e.g., cloud or high-performance computers), as well as in the private sector.

    For the first position, you're skilled in bias adjustment and statistical downscaling of climate model data, and you've demonstrated your expertise in applying statistical analysis, machine learning, data mining, or related techniques to resolve small-scale features from large-scale coarse resolution analyses, forecasts, or simulations.

    For the second position, you are skilled in analyzing atmospheric dynamics relevant to extreme weather events, their predictability on shorter timescale (from early warning systems to seasonal predictions) and assessment in courser resolution climate model simulations.

    Additionally, integrating climate simulations and model uncertainties into evaluating the impact of future climate projections on weather and atmospheric hazard extremes is something you excel at. Experience in assessing severe convective storm, extreme precipitation, drought, extreme wind or extreme temperature risks is a plus.

    Your love for learning drives you to embrace new and challenging areas. As a team player, you enjoy collaborating and building cool stuff together with your team mates. You appreciate the fast-paced, results-oriented culture of a startup and are prepared to apply academic rigour to products that make a difference in businesses and people's lives.

    Requirements

    Your impact

    Develop downscaling tools and techniques (position 1): you'll contribute to the development of next-generation dynamical and statistical downscaling methodologies to assess the local impact of atmospheric and extreme weather events on the time scale of early-warning systems to climate projections.

    Quantification of Atmospheric hazards from dynamics perspective (position 2): You will use your knowledge on atmospheric dynamics to quantify atmospheric hazards related to weather extremes. The outputs will be used both for climate-related hazard quick scans and as a basis for the hazard components of catastrophe models.

    Bring innovative NWP applications to life: you'll also study and help us translate climate processes and their influence on regional and local weather patterns and extremes across different time scales. You'll help us verify and validate model outputs against observational data and collaborate with data scientists to incorporate machine learning and artificial intelligence methods into extreme weather hazard modelling.

    Foster partnerships and stay updated with cutting-edge research: You'll be involved in high-profile partnerships that disrupt traditional approaches in insurance, finance, asset management and humanitarian industries. You'll stay abreast of the latest techniques and advancements in peer-reviewed journal articles to enhance our climate and extreme weather modelling capabilities.

    Benefits

    What we offer

    • An excellent science-to-product organizational environment with 25 PhDs that are all striving to improve on the existing natural hazard models
    • Ability to make a real-world impact by translating cutting edge research to commercial solutions
    • An opportunity to take your academic excellence out of the ivory tower
    • Being part of the start-up culture with a strong academic rooting; we breathe the physical science mentality, but there is every opportunity to be creative, bring new ideas to the table and push for different directions.
    • Work at a Barcelona beach-front location or remote in Europe

    Our vision is to be the place where a diverse mix of talented people want to come, to stay and do their best work. Some of our benefits, like unlimited personal time or flexible working arrangements, help work adjust to your life – and not the other way around. We encourage you to come twice a week to our office near the beach. Dogs and other furry friends are welcome

    Our compressed work schedule allows you to work half a day on Fridays during the year (so you can start the weekend early). During the summer, it also allows you to work 4 days a week, so you spend time with your loved ones.

    If you grow, we grow.

    Diversity

    A recent study shows that one in every 10 tech workers in Spain are women. Only 1 out of every 4 people with functional diversity in working age has employment Meanwhile, 38% of LGTBIQ people in Spain do not come out in the workplace for fear of discrimination.

    This is neither the world we want to live in nor the workplace we're building.

    Mitiga is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.


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