Join the Model-Based Evolutionary Genomics Unit (https://www.oist.jp/research/research-units/modevolgenom/) as a scientific programmer making fundamental contributions to research at the intersection of computational and evolutionary biology. Our unit works to decode the complex patterns and processes that underpin the evolution of life across its myriad forms with a significant focus on reconstructing the Tree of Life and modeling the dependency between different levels of organization in biological systems. By employing probabilistic models and leveraging the power of machine learning, we aim to unravel the co-evolutionary dynamics that have shaped the Tree of Life, from the enigmatic origins of early life forms to the sophisticated structures of modern biological systems. As a scientific programmer, you have the opportunity to further develop phylogenetic software in C++ (e.g., ALE, ALErax, GeneRax) as well as other languages (e.g., MCMCdate in Haskell) in collaboration with researcher groups in both the Life Sciences and Computer Science, including the Stamatakis group at HITS (https://www.h-its.org/people/prof-dr-alexandros-stamatakis/). You will also have the opportunity to participate in projects that aim to adapt machine learning methods, including protein language models such as ESM, to genomic data work. As a Scientific programmer at OIST, you will work with the extensive HPC resources of the university and interact with the excellent Scientific Computing & Data Analysis team (https://groups.oist.jp/scs). The position offers a platform for innovation and discovery in a unit that thrives on intellectual curiosity and interdisciplinary collaboration and includes funding, provided by the budget of the Model-based Evolutionary Genomics Unit, to travel to international conferences as well as extended research visits to international collaborators, including Tom Williams at the University of Bristol, Anja Spang at NIOZ in the Netherlands, Phil Hugenholtz at the University of Queensland, and others. Okinawa Institute of Science and Technology The Okinawa Institute of Science and Technology Graduate University (OIST; see www.oist.jp) is a dynamic new graduate university of science and technology in Okinawa Prefecture, Japan. The university is located on 85 hectares of protected forestland overlooking beautiful shoreline and coral reefs. The campus is striking architecturally, and the facilities are outstanding (OIST campus video tour: https://www.youtube.com/watch?v=OLeylXbZDpo). There are no academic departments, which facilitates multidisciplinary research. Outstanding resources and equipment are provided and managed to encourage easy access and collaboration. English is the official language of the University, and the university research community is fully international, with more than 50 countries represented. OIST is rapidly gaining recognition in the worldwide academic community as a model for excellence in education and research. Responsibilities: Work with members of the Model-based Evolutionary Genomics Unit as well as collaborators at the University of Bristol and the University of Queensland, NIOZ in the Netherlands, and the Institute of Evolution in Budapest. Publish to maintain and develop software, in particular AleRax (https://github.com/BenoitMorel/AleRax) and ALE (https://github.com/ssolo/ALE). Qualifications: (Required) Demonstrated ability to develop C++ code. (Preferred) Demonstrated ability to develop scientific software. Knowledge of, or ambition to learn Haskell, as well as Machine Learning libraries and frameworks such as Pytorch. Ph.D. in Natural Science, including, but not restricted to, Life Sciences, Physics, Computer Science, and Mathematics and an interest in Evolutionary Biology. How to Apply: Apply by emailing your Submission to: gergely.szollosi@oist.jp. Please ensure that you mention "modevolgenom postdoc 2024" in the subject line of your email. Submission Documents: · Cover letter · Curriculum vitae including publications and if possible, Google Scholar link · Names and contact information of 2 referees, one of which should be a previous employer Application Due Date: Applications will be reviewed starting April 1st, 2024 until the position is filled. Dr. Gergely J Szöllősi MTA-ELTE ,,Lendület” Evolutionary Genomics Research Group ERC “GENECLOCKS” Research Group head researcher Model-Based Evolutionary Genomics Unit モデルベース進化ゲノミクスユニット Okinawa Institute of Science and Technology Transitional Associate Professor http://ssolo.web.elte.hu Tel: 00 36 30 725 35 32 Gergely J Szöllősi (to subscribe/unsubscribe the EvolDir send mail to golding@mcmaster.ca)