Deadline: As soon as possible
Location(s)
Russia
Overview
The Faculty of Computer Science invites foreign students to do a research internship in one of its laboratories. Duration of an internship – from 2 to 6 months.
Details
The application should contain the following documents:
- CV
- Academic transcript
- Name of the lab or research area which you are interested in
- Language certificate (if any)
Successful candidates will be invited for an interview with a representative of the lab (in English). In case of a successful interview, candidates will receive an official invitation to do a research internship.
LIST OF AVAILABLE LABS
The Faculty is active in many research areas: theoretical computer science, algorithms for big data, optimisation, machine learning, computer vision, software engineering, and bioinformatics. We publish in leading computer science journals and present our results at major conferences.
Faculty Laboratories
- Laboratory of Theoretical Computer Science
Head: Professor Nikolay Vereshchagin, Member of the Academy of Europe
Established in late 2015, the Laboratory conducts research in computational complexity, information theory, algorithmic statistics, combinatorial optimization, and algorithmic game theory. Dr. Vladimir Gurvich, an internationally renowned scientist in the field of theoretical computer science, works here as a leading international researcher.
- International Laboratory for Intelligent Systems and Structural Analysis
Head: Professor Sergei O. Kuznetsov, Member of the HSE Academic Council
The Laboratory is a center for researching and integrating the latest methods of artificial intelligence (with a focus on data mining and structural analysis) in order to improve software “intelligence” and adaptability. Dr. Andre Scedrov, a widely respected scientist in the field of logic and formal methods in computer science, is one of the Laboratory’s leading researchers.
- Laboratory of Methods for Big Data Analysis
Head: Andrey Ustyuzhanin, Head of joint CERN-Yandex Research & Education programs at Yandex Data Factory
Established in February 2015, LAMBDA currently focuses on using machine learning and data analysis methods to solve problems of fundamental science such as particle physics and astrophysics. The Laboratory cooperates with the European Organisation for Nuclear Research (CERN) and the Large Hadron Collider.
- Laboratory of Process-Aware Information Systems (PAIS Lab)
Head: Professor Irina A. Lomazova, member of IEEE Task Force on Process Mining
The Laboratory was established in January 2013 under the scientific leadership of world-renowned Dutch scientist Dr. Wil van der Aalst. The Laboratory conducts research in the field of process mining and process-aware information systems such as BPM systems, workflow management systems, ERP systems, and case handling systems. The main goal is to develop new methods and approaches in PAIS modelling, analysis, and design.
- Centre of Deep Learning and Bayesian Methods
Head: Dmitry Vetrov, Research Professor at HSE
The Centre conducts research in machine learning and probabilistic modelling by combining two popular approaches, neural networks and Bayesian methods.
- International Laboratory of Stochastic Algorithms and High-Dimensional Inference
Head: Alexey Naumov, Associate Professor, Faculty of Computer Science
The International Laboratory of Stochastic Algorithms and High-Dimensional Inference was created in April 2018 and is part of the Faculty of Computer Science at HSE. Russian and international researchers work at the laboratory at the intersection of numerous mathematical disciplines, including modern statistics, optimisation, probability theory and theory of computation. Its main aim is to develop new probability and statistical approaches to current problems in the field of data analysis.
If you are interested in an internship, please send your application to the international cooperation manager of the Faculty of Computer Science: Mr. Sergey Karapetyan, s.karapetyan@hse.ru.
Opportunity is About
Eligibility
Candidates should be from:
Description of Ideal Candidate
Requirements
- Currently enrolled in Bachelor/Master’s degree or PhD
- Relevant experience in the chosen internship area
- Proficiency in English language (Russian is not required)
Dates
Deadline: As soon as possible
Cost/funding for participants
Internships, scholarships, student conferences and competitions.