[ABE-L] Fwd: [statistics-seminar] StatML - PhD/DPhil Opportunities in Statistics and Machine Learning at Imperial and Oxford

[Josemar Rodrigues]

> Início da mensagem encaminhada:
> 
> De: Statistics Seminars at Imperial <statistics-seminar em imperial.ac.uk>
> Assunto: [statistics-seminar] StatML - PhD/DPhil Opportunities in Statistics and Machine Learning at Imperial and Oxford
> Data: 25 de janeiro de 2019 13:13:49 BRST
> Para: statistics-seminar <statistics-seminar em imperial.ac.uk>
> Responder A: statistics-seminar em imperial.ac.uk
> 
> Dear all, 
>  
> StatML is a new Centre for Doctoral Training (CDT) based at Imperial and Oxford. It will train the next generation of researchers in statistics and statistical machine learning, who will develop widely-applicable novel methodology and theory,  as well as create application-specific methods, leading to breakthroughs in real-world problems in government, medicine, industry and science. 
>  
> We are seeking candidates for the 2019 cohort of StatML. To ensure consideration in the first round, submit your application online (https://statml.io <https://statml.io/>) by 11 February 2019.
>  
> StatML students will benefit from two leading departments at two world class universities – both are consistently rated amongst the world's top ten universities. Students will be part of these vibrant research environments and will undertake  training at both institutions. A proportion of the doctoral projects will be in collaboration with external partners (https://statml.io/index.php/partners/ <https://statml.io/index.php/partners/>).
>  
> Alongside their own research project, students will be part of a cohort that engages in a programme of activities. These will include high-level training in statistics, machine learning, advanced computation as well as training that will  help the student to achieve impact with their research.  Students will take part in internships and academic placements at international partner universities (https://statml.io/index.php/academic-partners/ <https://statml.io/index.php/academic-partners/>). 
>  
> We invite applications from individuals who hold (or expect to receive) a master’s level degree in mathematics, statistics, physics, computer science, engineering, or in a closely related subject. Whilst the programme is set up for full-time  study, we welcome applications for part-time study, including from those with established careers or caring responsibilities. 
>  
> Students will receive 4 years of funding. Eligibility criteria will apply. Normally, EU and UK nationals who satisfy residency requirements are eligible for all funding sources. There are limited funding opportunities for overseas students.  However, we encourage applications from everyone with a suitable academic background.  
>  
> For an informal discussion about the programme, you can contact either Dr Sarah Filippi, s.filippi em imperial.ac.uk <mailto:s.filippi em imperial.ac.uk>, Professor Judith Rousseau, judith.rousseau em stats.ox.ac.uk <mailto:judith.rousseau em stats.ox.ac.uk>, or the CDT director, Professor Axel Gandy at a.gandy em imperial.ac.uk <mailto:a.gandy em imperial.ac.uk>. For administrative question, please write to  statml.io.admissions em imperial.ac.uk <mailto:statml.io.admissions em imperial.ac.uk>.
>  
> Guidelines on how to apply can be found at  https://statml.io/ <https://statml.io/>. Every student will have a home institution (either Imperial or Oxford) and will be working towards a doctoral degree from this institution (PhD at Imperial, DPhil at Oxford). Students will be matched to a home institution during the admissions process.
>  
> Best wishes, 
> Sarah
>  
>      
>  
> _______________________________________________
> The Statistics seminar of the Mathematics Department at Imperial is organised by Tobias Fissler and David Stenning.
> Further information on the seminar is available at
> http://www.imperial.ac.uk/statistics/seminars <http://www.imperial.ac.uk/statistics/seminars>
> You can subscribe to/unsubscribe from the mailing list via
> https://mailman.ic.ac.uk/mailman/listinfo/statistics-seminar <https://mailman.ic.ac.uk/mailman/listinfo/statistics-seminar>
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