The Future of Humanity Institute is hiring a high-impact project manager

The Future of Humanity Institute

The Future of Humanity Institute (Oxford) is a world-leading research centre looking at big-picture questions for human civilization. With the tools of mathematics, philosophy, and science, we explore the risks and opportunities that will arise from technological change, weigh ethical dilemmas, and evaluate global priorities. Our goal is to clarify the choices that will shape humanity’s long-term future.

Who we need

We recently secured funding for a Research Collaboration with Amlin Insurance focusing on systemic risks associated with risk modelling. This is a unique opportunity to build a world-leading research programme. We’re looking for someone who can not only manage this project, but who also has the drive and initiative to find new sources of funding, network with leading experts, and design future plans for the project. We’re also looking for someone who understands and is motivated by the aims of the FHI; the post-holder will have the opportunity to contribute across the board to FHI projects, and may be a crucial part of the FHI’s success going forward.

It’s a two year position, but there will be the possibility of extension depending on the success of the project and the acquisition of further funding. All the details can be found here.

Why can you make a big difference in this role?

I’ve written in the past about the impact a talented person can have in academic project management. Your work will increase the success and impact of research done by each one of a team of top-tier academics, and will bring yet more high-quality researchers into the most important fields. This makes this position a way to achieve a huge amount of accumulative good. With a successful funding, development and media strategy, you can contribute to shaping the fields that the FHI is leading the world in.

Systemic Risks

Systemic risks concern the stability of an entire market, and are of great importance to managing large-scale risk. The very methods used to model these phenomena can themselves be a source of systemic risk, especially when they embody hidden assumptions that may not remain reliable in a fast-changing world.

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