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Research Internship, ABM Calibration

Improbable
London, United Kingdom
4 months ago

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Improbable believes in a future where new, virtual worlds will augment human experience and become as meaningful, lasting and rich as the physical world. We call this the Multiversal Self.

Our platform, SpatialOS, lets developers transcend the limits of regular computation, allowing swarms of servers running in the cloud to cooperate in order to simulate worlds far larger and more complex than any single server could.

At Improbable, you are surrounded by people who want to improve everything and everyone around them, and who compel you to improve yourself. We’re motivated by the fulfilment of solving hard problems to achieve something profound and transformative.

Your Mission

is to join our Research group, completing a 3-month PhD internship focussed on developing and assessing the efficacy of techniques for the calibration of agent-based models; using statistical inference, machine learning and optimisation. This internship is focused on the challenging problem of calibration for agent-based models (ABMs).

ABMs model social or biological systems at the level of individual entities interacting. For example, a crowd can be modelled as a large number of individual entities, each pursuing the goal of reaching a destination whilst avoiding collision with others. ABMs are a natural choice for modelling complex real-world systems. This complexity, however, can make it challenging to tune their parameters against real-world data. As a result we are investing long-term research efforts into scalable, effective tuning methods.

Areas for Impact

We'd like to hear from you if you identify with the following

While we think the above experience could be important, we can’t predict the future and so we’re keen to hear from applicants that believe they have valuable experience. If you identify with the team & mission, but not all of the suggestions, then please still apply!!

Equal Opportunity

The best ideas are often the least expected and require new ways of thinking; that’s why our teams at Improbable are made up of an incredible range of talented people. Improbable is proud to be an equal opportunity employer. We do not discriminate based on race, ethnicity, colour, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected status.

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