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What: Open position for Lecturer/Reader in Machine Learning (~Asst/Assoc Prof). The position is full-time and open-ended (equivalent to a US tenured position). Where: School of Informatics at the University of Edinburgh, UK. How: Apply here - https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Felxw.fa.em3.oraclecloud.com%2FhcmUI%2FCandidateExperience%2Fen%2Fsites%2FCX_1001%2Fjob%2F8801%2F&data=05%7C01%7Cuai%40engr.orst.edu%7C4d5532c23b62452a2cbe08dbe7707dc4%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638358242594162907%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=FuYkX3wvoUHqB0bK8a%2BiZ5JJlysnnzvhyIXrJ0RZmC8%3D&reserved=0 Deadline: 15 January 2024, 11:59pm GMT ----------------------------------------------------------------- Dear all, Applications are invited for an academic position in machine learning in the School of Informatics at the University of Edinburgh, one of the largest centres in Machine Learning and Artificial Intelligence in Europe. The appointment will be full-time (35h per week) and open-ended (equivalent to a US tenured position). Whom we are looking for The successful candidate will have a PhD (or be near to completing one), an established research agenda, and the enthusiasm and ability to undertake original research and to run a research group. They will show excellent teaching skills and engagement with academic supervision. We are seeking current and future leaders in the field. We seek candidates with research interests in the development of cutting-edge machine learning methods. Candidates will have a research interest in principled approaches to machine learning, and/or the development of novel methods of wide applicability with state-of-the-art capability. The candidate's research focus might involve, for example (in no particular order and not exclusively): - - theoretical foundations of machine learning, including deep learning - - efficiency of methods and models, as well as data and energy efficiency - - transfer and small-data learning - - generative deep learning - - Bayesian and stochastic optimisation - - scalable Bayesian methods - - causal and probabilistic machine learning - - fairness, privacy and ethics in machine learning - - decision-making under uncertainty Candidates should have a strong technical track record and be interested and able to teach undergraduate and master's level courses in areas related to machine learning. The School of Informatics The School of Informatics was ranked #1 in the UK for research power in Computer Science and Informatics Times Higher Education ranking, based on the 2021 Research Excellence Framework (REF). We are one of the top six institutions in Europe for AI according to the CSRankings website csrankings.org, and the highest-ranked UK institution. The School of Informatics currently hosts several doctoral training programmes related to the field of machine learning through which a successful candidate may recruit PhD students, in addition to places available through the School. The successful candidate will join a dynamic environment with both junior and senior faculty members and dedicated professional service staff. The professional service available in the School includes excellent support for national and international research funding applications as well as support for commercial engagement. The University of Edinburgh The University of Edinburgh is a research-intensive university that has been ranked 22nd in the 2024 QS World University Rankings. The University is an active Unit in the European Laboratory for Learning and Intelligent Systems (ELLIS); these units are recognized centres of excellence in AI research across Europe. In addition, it is one of the five founding partners of the UK's Alan Turing Institute for Data Science and Artificial Intelligence. This gives rise to opportunities to interact with PhD students, research fellows and senior researchers within the Alan Turing Institute. There are also many opportunities within the University to engage in collaborative activities with researchers in other areas of computer science, mathematics and statistics, and across the physical, social, and biomedical sciences. The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and Stonewall Scotland Diversity Champions, actively promoting LGBT equality. The City Edinburgh is overall an attractive city to live in: it is walkable, enjoys proximity to nature and features a world-class cultural scene that includes attractions such as the Edinburgh International Festival <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.eif.co.uk%2F&data=05%7C01%7Cuai%40engr.orst.edu%7C4d5532c23b62452a2cbe08dbe7707dc4%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638358242594162907%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=eVoF%2BcYrcRbyqOj9NdkvNfXjmmqghTnky%2BlGLdsbXvQ%3D&reserved=0> or the Edinburgh Fringe <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.edfringe.com%2F&data=05%7C01%7Cuai%40engr.orst.edu%7C4d5532c23b62452a2cbe08dbe7707dc4%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638358242594162907%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=2RAbX93sdpT6Wx6Afgk2l4KG3ewqysByh3M2O%2FGDIrc%3D&reserved=0>. Edinburgh was ranked 1st in the 2022 Time-Out Index <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.timeout.com%2Fthings-to-do%2Fbest-cities-in-the-world&data=05%7C01%7Cuai%40engr.orst.edu%7C4d5532c23b62452a2cbe08dbe7707dc4%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638358242594162907%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=j%2BFRv23NWeqJaAH2hA8aJXQiEHbdCSicYo1M3m9K%2BOg%3D&reserved=0> of the best cities in the world. Their ranking factored in everything from scenic beauty, community spirit, public transport, walk-ability, restaurants, through to cleanliness. Salary and benefits The appointed candidate can expect the following salary: Lecturer (UE08 salary band): 45,585 GBP - 54,395 GBP Reader (UE09 salary band): 57,696 GBP - 64,914 GBP The hired candidate will further benefit from a negotiable reward package and a wide range of staff benefits, which includes a generous holiday entitlement (36 days of annual leave per year plus public holidays), a defined benefits pension scheme <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.ed.ac.uk%2Ffinance%2Fpensions&data=05%7C01%7Cuai%40engr.orst.edu%7C4d5532c23b62452a2cbe08dbe7707dc4%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638358242594162907%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=gcghcvh0LRnhMJP5ZfzOzdZeEeaPZKEvzkT8t8RLFy0%3D&reserved=0>, staff discounts, family friendly initiatives <https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.ed.ac.uk%2Fschools-departments%2Fequality-diversity%2Fhelp-advice%2Ffamily-friendly&data=05%7C01%7Cuai%40engr.orst.edu%7C4d5532c23b62452a2cbe08dbe7707dc4%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638358242594162907%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=s3Xa7lOBQf%2B4p7FSs2zsEUo8y8KD%2FmJlEXnNm%2BLliHo%3D&reserved=0>, flexible working and much more. Candidates can access the staff benefits page <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.ed.ac.uk%2Fhuman-resources%2Fpay-reward%2Fstaff-benefits&data=05%7C01%7Cuai%40engr.orst.edu%7C4d5532c23b62452a2cbe08dbe7707dc4%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638358242594162907%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=dLsWFeJfAiDIj2s19JRDkN4b8yRpB4Ly196YqFvoQVc%3D&reserved=0> for further information and use the reward calculator <https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.ed.ac.uk%2Fhuman-resources%2Fpay-reward%2Freward-calculator&data=05%7C01%7Cuai%40engr.orst.edu%7C4d5532c23b62452a2cbe08dbe7707dc4%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638358242594162907%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=6IB1mt3ldia8n9G2MYkDXUSE06HxXlS58qjyrt57h7o%3D&reserved=0> to find out the total value of pay and benefits provided. Your application Full details about the application procedure and link to the application portal are available through the University of Edinburgh jobs website https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.ed.ac.uk%2Fhuman-resources%2Fjobs&data=05%7C01%7Cuai%40engr.orst.edu%7C4d5532c23b62452a2cbe08dbe7707dc4%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638358242594162907%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=oILyG4nTGnOi8p8yJdO2ZSLZtcOg0%2BZJLzxWrIHA124%3D&reserved=0 with vacancy reference 8801. https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Felxw.fa.em3.oraclecloud.com%2FhcmUI%2FCandidateExperience%2Fen%2Fsites%2FCX_1001%2Fjob%2F8801&data=05%7C01%7Cuai%40engr.orst.edu%7C4d5532c23b62452a2cbe08dbe7707dc4%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638358242594162907%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=iXUng%2BDXJptItrnCMrW3lIlLBzAfj%2FWWOFKeG0UrRy0%3D&reserved=0 **The application deadline is 15th of January 2024 11:59pm GMT.** Please note that we will not accept any applications sent by email. Contact Informal enquiries may be addressed to Drs Michael Gutmann ( michael.gutm...@ed.ac.uk), Oisin Mac Aodha (oisin.macao...@ed.ac.uk), or Antonio Vergari (averg...@exseed.ed.ac.uk). Antonio will be attending the NeurIPS conference and is available for informal meetings there.
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