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The Max Planck Institute for the History of Science (MPIWG) is an internationally respected research institute of the Max Planck Society (MPG) with three research departments, several research groups, and a graduate school. At the MPIWG, around three hundred scholars from all over the world investigate the sciences past and present, working together on a collective, collaborative, and transdisciplinary basis. The MPIWG is renowned worldwide as a hub for reflection on the role of the sciences in politics and society.

Job no: 499572
Work type: Full time
Location: Statewide (all locations in Tasmania)
Categories: Balanced Research/Teaching

Salary: The salary is on points 29-31 of the national pay spine, starting with point 29 (currently £36,024 per annum). Free meals in College, USS pension, research allowance of £1,000 per annum, are also offered.

Post: Shaw Foundation Junior Research Fellowship (JRF) in Law

Closing date and time: 19/01/2024 12:00 pm

NYU Shanghai invites applications for a two-year Teaching Fellowship for Global Perspectives on Society beginning the 2025-26 academic year. This residential fellowship entails teaching responsibilities in the fall semesters; the spring semesters are devoted to the fellow’s self-directed research and writing. NYU Shanghai seeks to appoint a team of Teaching Fellows that will further diversify NYU Shanghai’s instructional faculty.

The Ebrahimi Fellowship for Persian Art promotes excellence in research and publication on Persian art from the ancient to the contemporary period. Fellowships support research at the Smithsonian’s National Museum of Asian Art in Washington, DC. Research proposals are evaluated in terms of merit, originality, methodology, and potential for significant publication that will advance scholarly and public understanding of Persian visual arts. Interdisciplinary proposals with a primary focus on Iranian visual arts will be considered.

The pathways to knowledge (P2K) fellows will challenge the foundations of knowledge in specific fields and seek to determine whether biases (religion, culture, politics, customs and beliefs, normativity, researcher competition, and non-human methodologies – such as AI) have negatively affected the generation of evidence-based knowledge.