POSTDOC IN MACHINE LEARNING THEORY AND ALGORITHMS (LARGE SCALE EFFICIENT LEARNING ALGORITHMS) (E)

Commitment %26amp; contract.
Postdoctoral, 1 yearLocation.
GenoaABOUT USAt IIT we work enthusiastically to develop human-centered Science and Technology to tackle some of the most pressing societal challenges of our times and transfer these technologies to the production system and society.
Our Genoa headquarters are strictly interconnected with the other 11 centers around Italy and two outstations based in the US.
We promote excellence in basic and applied research such as neuroscience and cognition, humanoid technologies and robotics, nanotechnology, materials for a truly multidisciplinary scientific experience.
OUR TEAMWe are looking for one postdoc in Machine Learning theory and algorithms possibly with applications in large scale efficient learning algorithms.
The research themes include sketched large-scale algorithms and modern overparameterized models through the lens of regularization and optimization, and possibly the study of physics-informed machine learning.
You will be working in a multicultural and multi-disciplinary group where computer scientists, mathematicians and engineers collaborate, each with their own expertise, to carry out common research.
he candidate will work on IIT@MIT research line in collaboration with the research unity of Prof.
Rosasco of Genoa University, who has extensive experience in machine learning theory, algorithms and applications.
The research focuses on machine learning theory, algorithms, and applications, with an emphasis on efficient machine learning algorithms with applications to robotics.
SSENTIAL REQUIREMENTSA PhD in mathematics, computer science, engineering, physicsDocumented experience in machine learning, statistics, optimization, applied analysis (inverse problems), control theory, reinforcement learningA strong mathematical and computational backgroundA strong publication recordThe ability to properly report, organize and publish research dataDocumented experience in coaching junior scientistsGood command in spoken and written EnglishADDITIONAL SKILLSExperience in both computational and modeling aspects (e.
.
optimization and statistics / inverse problems)Good communication skillsStrong problem solving attitudeHigh motivation to learnSpirit of innovation and creativityGood in time and priority managementAbility to work in a challenging and international environmentAbility to work independently and collaboratively in a highly interdisciplinary environmentCOMPENSATION PACKAGECompetitive salary package for international standardsPrivate health care coverage (depending on your role and contract)Wide range of staff discountsCandidates from abroad or Italian citizens who permanently work abroad and meet specific requirements, may be entitled to a deduction from taxable income of up to 90% from 6 to 13 years.
HAT'S IN FOR YOU?An equal, inclusive and multicultural environment ready to welcome you with open arms.
Discrimination is a big NO for us!We like contamination and encourage you to mingle and discover what other people are up to in our labs!If paperwork is not your piece of cake, we got you! There's a specialized team working to help you with that, especially during your relocation!If you are a startupper or a business-minded person, you will find some exceptionally gifted professionals ready to nurture and guide your attitude and aspirations.
f you want your work to have a real impact, in IIT you will find an innovative and stimulating culture that drives our mission to contribute to the improvement and well-being of society!We stick to our values! Integrity, courage, societal responsibility and inclusivity are the values we believe in! They define us and our actions in our everyday life.
They guide us to accomplish IIT mission!If you feel this tickles your appetite for change, do not hesitate and apply!Please submit your application using the online form and including a detailed CV, university transcripts, cover letter (outlining motivation, experience and qualifications) and contact details of 2 references.
pplication's deadline.
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