Science Club
We are creating a community for students who want to start a career in Data Science. Club members conduct experiments, participate in conferences and publish articles together with mentors from the R&D departments of MIPT, Huawei, Samsung and other Russian and international companies.

What makes successful students different?
Completed an internship at Google
Spoke at NIPS
Entered MIT

Passed the session as "good"
Very worried about a diploma
Thinks he can't write articles
We believe that the strongest students become that way through the right environment. The mentor's support and the exchange of ideas with fellow students allows you to learn in a year what it takes others four: to formulate punchline research and scientific hypotheses, conduct experiments and prepare scientific publications.
How the work is arranged
Meet the mentor
You and your mentor talk on Zoom for 30 minutes and discuss your teamwork
The problem statement
You and a mentor discuss a scientific problem and describe the stages of research
Weekly meetings
Every week you call your mentor to discuss the results of your work and plan the next one
Publishing an article
A successful project ends with publication. The prepared text of the article is sent to a pre-selected journal or conference
What will you get in the Science Club
Publications and conferences
We have high requirements for students and mentors. This allows us to focus on publications in Q1-Q2 journals and prepare our students to participate in conferences at the NIPS level.
Scientist CV
If you want to go to graduate or postgraduate studies in Europe and the USA, you need good publications. They are also needed to get a job in the R&D laboratories of large companies. We will help you arrange articles and resumes.
Rapid growth of skills
A mentor will help you focus on what's important and not drown in a sea of articles and approaches. You will write down clear goals and metrics from the achievement. Weekly progress control allows you to monitor development.
New friends
Communities develop science. Sharing ideas and discussing success with other members is not only fun, but also broadening. Now I can't believe it, but while communicating with the students of the club, you talk to future major scientists and laboratory leaders.
Hard skills
You will learn how to:
- Formulate research hypotheses;
- Simulate problem solution and implement SotA results; - Describe research results for publication;
- Review the scientific field;
- Set up computational experiments
    What we expect from prospective students:
    Desires to explore new things
    We believe that a motivated student can figure out anything, even the most difficult task.
    Opportunities to find time
    We expect you to be able to devote about 20 hours a week to work. It takes a long time to do a good research.
    Basic skills
    You write research code quickly, know how to use frameworks, document code, and can form research hypotheses after diving into a new field.
    You have a habit of googling before asking a question. You offer solutions, you do not wait for the ready-made. It is interesting for you to understand the problem yourself, formulated in general form without detailed TR.
    You ask questions. You want to discuss your own ideas with your mentor. You are interested in the area, so you yourself find new information on the topic and bring it up for discussion.
    Experience of internships, hackathons, competitions at Kaggle - plus when selecting a group. Tell us about your successes.
    Our mentors
    Valentin Malykh
    Recruiting students
    Huawei Lead Researcher
    Valentin worked in the DeepPavlov team, now he is engaged in research in the NLP division of Huawei.
    Mikhail Burtsev
    Head of the Lab. neural systems and deep learning and the DeepPavlov project
    Supervised the NTI project "NeuroIntellect iPavlov" and the DREAM team. Chief organizer of NeurIPS. Mikhail's publications in Nature, Artificial Life, Lecture Notes in Computer Science series, etc.

    Yuri Kuratov
    Researcher Lab. neural systems and deep learning
    Winner of the competition for the development of dialogue systems NIPS Conversational Intelligence Challenge 2017. Interests: language models, coreference resolution, BERT, question-answer models for SQuAD.
    Alexey Goncharov
    Head of MIL Team
    Alexey's PhD thesis is built around the topic of dynamic alignment of space-time objects.
    Anastasia Yanina
    Developer of the Samsung Artificial Intelligence Center
    Anastasia's thesis is devoted to the creation of hierarchical sparse embeddings based on topic models.
    Oleg Bakhteev
    Leading researcher of Antiplagiat company
    Oleg's PhD thesis is built around fundamental problems related to the architecture of neural network models.
    Research topics
    Search and Recommendations
    Creation of hierarchical sparse embeddings based on topic models and more: we cross TM with transformer-based models. Using these embeddings to find and recommend articles.

    Analysis of human behaviour
    Psychotyping of a person based on data from a mouse and a touchpad. The task is based on the classification and clustering of semi-structured data.
    Topic Modelling
    Neural network topic modeling models and the application of TopicNet to ML tasks.
    Neural Architecture Search
    Automatic selection of deep learning models. Finding the optimal structure of a neural network for solving various types of problems. For example, classification and regression.
    Cell language
    Application of models designed for working with texts to understand the language of genes. Training and analysing of gene models from the family of transformers for the restoration of gene networks of brain cells.
    Purposeful dialogue
    Development and implementation of algorithms for managing conversational skills, taking into account the goals of the user in the dialogue. Analysis of the dialogue structure, prediction of transitions between sub-dialogues.
    The list of topics is updated with the arrival of new scientific leaders. Subscribe to the news - we will send you current topics of work and announcements of mentors. Send your resume when you find your area.
    How to get to Science Club?
    Attach your resume and motivation letter to your application. We want to know why you want to join us and what you did before.
    Solve test task
    The test task will be sent to the mail. You have 7 days to complete. Within a week after sending the result, we will write whether you have passed to the next stage.
    Have an interview
    We will talk with you at Zoom, get to know you and determine what tasks you are interested in. At the same time, we will try to find you a supervisor.
    Meet the mentor
    We will make an appointment with the leader you are interested in. You decide if you want to work together. If the mentor is not ready to start work, we will suggest choosing another one.
    Answer all your questions
    What work experience and knowledge is required to get to you?
    - No work experience required!
    - Desire to engage in scientific activities
    - Student over 2 course
    - Programming experience in Python and knowledge of Git
    - Good English (Reading)
    - High average score in specialized subjects

    Can I get in if I'm not from MIPT?
    You can, there are no restrictions
    What selection stages do I have to go through?
    1. Fill out the form and send your resume
    2. Solve a couple of test problems
    3. Take a telephone and face-to-face intervie
    How many hours per week should I devote?
    A total of 20 hours, remote option.
    Will I be paid?
    Payment for research activities is not expected
    I don't always have 20 free hours a week, can I take breaks from the research group?
    Sure! You just need to warn in advance
    Where can I ask questions if I cannot find the answer above?
    You can ask any question about the internship by simply writing to us by mail
    Our students feedback
    Fill in the fields
    Your phone number
    Scientific adviser and topic of scientific work
    Describe your experience working on research projects at the institute, even if the topic of research work does not coincide with the field of machine learning. Write - we are very interested to know more about you!
    Which mentor do you want to work with?
    pdf-file named: Surname_Name_resume.pdf
    Motivation letter
    pdf-file named: Surname_letter.pdf
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