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Prenesite zdaj ( 31 Strani )

Celotno besedilo

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• Research oriented.

• Wide selection of courses.

• Modern facilities.

• Conducted in English.

• Adjusted to students’ needs.

(8)
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• Incremental Learning from Data Streams

• Mathematics for Machine Learning

• Advanced Topics in Network Science

• Predictive Analytics for Structured Data

• Contemporary Approaches to Algorithm Design

(10)

• Information System Integration Methods

• Advanced Algorithms for Search and Planning

• Ensemble Methods for Data Analytics

• Deep Learning for Computer Vision

• Modern Statistics and Machine Learning

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• Marko Bajec

• Zoran Bosnić

• Ivan Bratko

• Andrej Brodnik

• Patricio Bulić

• Mojca Ciglarič

• Tomaž Curk

• Janez Demšar

• Tomaž Dobravec

• Gašper Fijavž

• Matej Guid

• Tomaž Hovelja

• Franc Jager

• Branko Matjaž Jurič

• Aleksandar Jurišić

• Igor Kononenko

• Matej Kristan

• Matjaž Kukar

• Iztok Lebar Bajec

• Aleš Leonardis

• Uroš Lotrič

• Viljan Mahnič

• Matija Marolt

• Miha Moškon

• Miha Mraz

• Polona Oblak

• Veljko Pejović

• Fabio Ricciato

• Borut Robič

• Marko Robnik Šikonja

• Rok Rupnik

• Danijel Skočaj

• Franc Solina

• Luka Šajn

• Sebastijan Šprager

• Branko Šter

• Erik Štrumbelj

• Lovro Šubelj

• Denis Trček

• Mira Trebar

• Damjan Vavpotič

• Nikolaj Zimic

• Blaž Zupan

• Marinka Žitnik

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Machine

learning and artificial

intelligence

Software engineering and

informatics

Theoretical computer science and mathematical methods

Systems and networks

Computational biology

Machine perception and

multimedia

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Collaborations with world-renowned institutions:

• Technical University Graz (Austria)

• Technical University Wien (Austria)

• Technical University Berlin (Germany)

• ETH Zurich (Switzerland)

• University of Sarajevo (Bosnia and Herzegovina)

• Czech Technical University in Prague (Czech Republic)

• ESRF – The European Synchrotron (France)

• KU Leuven (Belgium)

• University College London (UK)

• Kyungpook National University (South Korea)

• University of New South Wales (Australia)

• Baylor College of Medicine (USA)

• Massachusets Institute of Technology (USA)

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• Junior researchers

• Assistants

• Teaching assistants

• Researcher positions

• Slovene Human Resources and Scholarship Fund

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• Tuition fee: max. 4.000 € per year

• Salary for teaching and research activities: between 800 € and 1.000 € net

• Obligations:

• perform all study requirements,

• perform teaching requirements for 10 h per week,

• be involved in the research work of the mentors'

laboratory for 30 hours per week

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• Research field: machine learning, deep neural networks, UI for interactive data visualisation

• Research work and machine learning applications

• Part-time employment or student job

Contact: Blaž Zupan (blaz.zupan@fri.uni-lj.si)

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• Research field: machine learning in the field of natural language

• Research work and application in Slovenian language; development of tools for natural language

analysis

• Approx. three year employment

• Research field: machine learning for big networks analysis

• Research work in networks

analysis, fusion of information from networks and other data sources

• Approx. three year employment

Contact: Marko Robnik Šikonja

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Contact: Denis Trček (denis.trcek@fri.uni-lj.si)

• Research field: computer security, IoT

• Research work in self-adaptive security in sensor networks and in internet of things (IoT)

• Approx. four year employment

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Contact: Marko Bajec (marko.bajec@fri.uni-lj.si)

• Research field: data technologies and healthcare data

• Research work on EkoSMART research programme:

• Language independent information extraction from unstructured healthcare data

• Anomaly detection in remote patient monitoring for patients with multiple chronic diseases

• Data schema mapping in healthcare

• Attribute Based Access Control for healthcare data

• Research programme runs until March 2019

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Contact: Maja Bradeško (maja.bradesko@gorenje.com)

• Industry scholarships for PhD students working in the field of electronics development

• Proposed research topics:

• Controlling household appliances with speech

• Speech synthesis on household appliances

• Machine learning: Smart and adaptive user interfaces

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• Via online eVŠ portal (http://portal.evs.gov.si/prijava)

• 2nd cycle Bologna Master's program

• Uniform Master's program, with an equivalent of 300 ECTS

• Pre-Bologna study program from university education

in Slovenia

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• a well-structured curriculum vitae

• a certified copy of your bachelor or master's degree

• a GPA certificate of exams and tutorials

• a motivation letter

• 2 recommendation letters

• advisor(s) preference

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• The deadline for

application is 2 June 2017

• Enrolment will take place in

September 2017

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assist. prof. Marinka Žitnik

Stanford University and UL FRI Nejc Škoberne

CEO & Co-founder of Genialis Miha Štajdohar

CTO & Co-founder of Genialis

Mitja Trampuš Google

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Miha Štajdohar

PhD awarded in 2012

CTO & Co-founder of Genialis

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Alja Isaković

1

st

Year Doctoral Student

Student-Assistant

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Reference

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