[{"data":1,"prerenderedAt":201},["ShallowReactive",2],{"nav":3,"page\u002Fjob-offers-bayesian-neural-networks\u002F":52},{"id":4,"extension":5,"items":6,"meta":49,"stem":50,"__hash__":51},"navigation\u002Fnavigation.yml","yml",[7,11,14,17,20,23,34,37],{"name":8,"type":9,"route":10},"Team","internal","\u002Fteam\u002F",{"name":12,"type":9,"route":13},"Seminars","\u002Fseminars\u002F",{"name":15,"type":9,"route":16},"Achievements","\u002Fachievements\u002F",{"name":18,"type":9,"route":19},"Projects","\u002Fprojects\u002F",{"name":21,"type":9,"route":22},"Job Offers","\u002Fjob-offers\u002F",{"name":24,"type":25,"subpages":26},"For Students","submenu",[27,30],{"name":28,"type":9,"route":29},"Prospective PhDs","\u002Fphd-recruitment\u002F",{"name":31,"type":32,"href":33},"Current projects","external","https:\u002F\u002Fdocs.google.com\u002Fspreadsheets\u002Fd\u002F1C-XgKHCyIIGWw4FNf_LTLgpINHVCRIV-XTHJ2-lgEgI",{"type":9,"route":35,"name":36},"\u002Fai-scientific-club\u002F","AI Scientific Club",{"name":38,"type":25,"subpages":39},"Other",[40,43,46],{"name":41,"type":32,"href":42},"TFML","http:\u002F\u002Ftfml.gmum.net\u002F",{"name":44,"type":32,"href":45},"bioNN","http:\u002F\u002Fbionn.matinf.uj.edu.pl\u002F",{"name":47,"type":32,"href":48},"Machine Learning Summer School","https:\u002F\u002Fmlss2025.mlinpl.org\u002F",{},"navigation","C89KhE1MaIMYyqnV_fTWPE_xW_FL8shyrJcOreyfc-A",{"id":53,"title":54,"body":55,"description":192,"extension":193,"meta":194,"name":195,"navigation":196,"path":197,"seo":198,"stem":199,"__hash__":200},"pages\u002Fpages\u002Fjob_offers_bayesian_neural_networks.md","Ph.D. and Final-Year Postgrad Opportunities in Bayesian Neural Networks",{"type":56,"value":57,"toc":183},"minimark",[58,73,78,99,103,113,117,120,136,140,143,169,172],[59,60,61,62,67,68,72],"p",{},"We are looking for Ph.D. students and final-year postgrad students in computer science or mathematics who are eager to\ncontribute to advancements in Bayesian Neural Networks. If you are passionate about Bayesian Deep Learning and want to\nmake a difference, please visit our website at ",[63,64,66],"a",{"href":65},"http:\u002F\u002Fbayes.net.pl","bayes.net.pl"," and don’t hesitate to\nemail us at ",[63,69,71],{"href":70},"mailto:t.kusmierczyk@uj.edu.pl","t.kusmierczyk@uj.edu.pl","!",[74,75,77],"h3",{"id":76},"scholarships","Scholarships",[59,79,80,81,85,86,89,90,93,94,98],{},"We offer scholarships for students and doctoral candidates ",[82,83,84],"b",{},"in Poland."," The scholarship amounts to up to PLN 5000 (\napproximately ",[82,87,88],{},"EUR 1250","), raising the total doctoral student remuneration to PLN 8460 (approximately ",[82,91,92],{},"EUR\n2000","). This attractive offer is particularly appealing given the\naffordable ",[63,95,97],{"href":96},"https:\u002F\u002Fwww.numbeo.com\u002Fcost-of-living\u002Fcountry_result.jsp?country=Poland","living costs in Poland",".",[74,100,102],{"id":101},"work-specification","Work specification",[59,104,105,106,109,110],{},"A successful candidate will work in the field of Bayesian Deep Learning on a project funded by the National Science\nCenter (European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant\nagreement) titled Balancing Priors and Learning Biases to Improve Bayesian Neural Networks. The research will be\nconducted within the Group of Machine Learning Research at the Jagiellonian University. Your role will involve\ntheoretical investigations, model implementation, and experiments focusing on ",[82,107,108],{},"learning and priors for Bayesian Neural\nNetworks."," Key topics include ",[82,111,112],{},"uncertainty quantification, priors and posteriors, amortized and boosted posterior\nmodels, and deep networks architectures.",[74,114,116],{"id":115},"requirements","Requirements",[59,118,119],{},"An ideal candidate is a final-year or a Ph.D. student (must be based in Poland) in Mathematics or Computer Science with\nexperience in machine\u002Fdeep learning and computer programming. We expect:",[121,122,123,127,130,133],"ul",{},[124,125,126],"li",{},"Basic programming skills (Python and PyTorch\u002FTensorFlow\u002FJAX)",[124,128,129],{},"Knowledge of modern machine learning techniques (neural networks, gradient-based optimization, etc.)",[124,131,132],{},"Fluency in English",[124,134,135],{},"Knowledge of modern probabilistic methods and applied statistics is a big plus",[74,137,139],{"id":138},"process-for-new-doctoral-candidates","Process for new doctoral candidates",[59,141,142],{},"The recruitment process for new doctoral candidates consists of two stages:",[121,144,145,152],{},[124,146,147,148],{},"First, contact the Principal Investigator (PI) at ",[82,149,150],{},[63,151,71],{"href":70},[124,153,154,155,161,162,168],{},"Second, apply to the doctoral school at the Jagiellonian University. The registration deadline is June 17,\n2024 (",[63,156,158],{"href":157},"https:\u002F\u002Fscience.phd.uj.edu.pl\u002Fen_GB\u002Fjoin\u002Ftechnical-computer-science",[82,159,160],{},"Technical CS recruitment\nschedule",") or alternatively June 23,\n2024 (",[63,163,165],{"href":164},"https:\u002F\u002Fscience.phd.uj.edu.pl\u002Fen_GB\u002Fjoin\u002Fcomputer-science",[82,166,167],{},"CS recruitment schedule",").",[59,170,171],{},"Please attach the following documents to your e-mail:",[121,173,174,177,180],{},[124,175,176],{},"CV\u002FResume",[124,178,179],{},"Motivation or cover letter explaining how you can contribute to the project",[124,181,182],{},"Any relevant links or materials demonstrating your skills and knowledge",{"title":184,"searchDepth":185,"depth":185,"links":186},"",2,[187,189,190,191],{"id":76,"depth":188,"text":77},3,{"id":101,"depth":188,"text":102},{"id":115,"depth":188,"text":116},{"id":138,"depth":188,"text":139},"Ph.D. and Final-Year Postgrad Opportunities in Bayesian Neural Networks at GMUM","md",{},"job_offers_bayesian_neural_networks",true,"\u002Fpages\u002Fjob_offers_bayesian_neural_networks",{"title":54,"description":192},"pages\u002Fjob_offers_bayesian_neural_networks","vOoJ0JkbEUO0S1hYHx66UIbzn9zhyjC7rqY4XbAbUy8",1786129777754]