⭐️ Skoltech recently hosted the annual Career Day, designed to help students take their first steps toward their professional journey.
This year, the Skoltech Career Center, together with its partners, organized an intensive program for students:
- A career opportunities exhibition
- Individual career consultations with HR specialists and hiring managers, offering guidance on CVs, insights about companies, industry-specific labor market trends, and assistance in creating personalized career paths
- "Speed dating" with graduates
- Quizzes from partners and branded prizes
The event attracted participants from over 20 companies, including the Russian Research Institute, Kamaz, Sber, BIOCAD, Yandex, Safe Transport, Cyber Motorika, T-Bank, Wildberries, OilGene, RKC, Virsign Innovations, Sibur Polilab, Piklema, Start in Moscow, NGO Varya, KEPT, M&S Decisions, NSPC (National Payment Card System), Rosselkhozbank, and MTS Digital.
This year, the Skoltech Career Center, together with its partners, organized an intensive program for students:
- A career opportunities exhibition
- Individual career consultations with HR specialists and hiring managers, offering guidance on CVs, insights about companies, industry-specific labor market trends, and assistance in creating personalized career paths
- "Speed dating" with graduates
- Quizzes from partners and branded prizes
The event attracted participants from over 20 companies, including the Russian Research Institute, Kamaz, Sber, BIOCAD, Yandex, Safe Transport, Cyber Motorika, T-Bank, Wildberries, OilGene, RKC, Virsign Innovations, Sibur Polilab, Piklema, Start in Moscow, NGO Varya, KEPT, M&S Decisions, NSPC (National Payment Card System), Rosselkhozbank, and MTS Digital.
🏆 A Skoltech student received an award for the best scientific paper
Peter Sychev, a master’s student in the Data Science program, has received the Best Paper Award at AINL 2025, an international conference on artificial intelligence and natural language processing held in Novosibirsk.
📝 Paper Title: "When an LLM is apprehensive about its answers — and when its uncertainty is justified"
🔗 arXiv: 2503.01688
What’s the research about?
The researchers tested whether large language models (like ChatGPT) can recognize when they’re wrong. To do this, they compared two different methods of assessing a model’s "confidence" in its answers.
In the first case, they looked at how evenly the model distributes probabilities across different answer options — if all choices seem almost equally likely, then it probably doesn't know the right one.
In the second, the model itself evaluates how well it answered.
It turned out that the first method works well for simple facts, but the second method helps only in easy tasks, and in more complex tasks it often "does not notice" errors.
The study also showed that even popular AI tests can hide biases, and reminded that when creating reliable AI systems, it is important to take into account not only the errors of the model itself, but also the peculiarities of the data on which it was trained.
🎉 Congratulations to Peter on his well-deserved award! Wishing him future scientific achievements!
Peter Sychev, a master’s student in the Data Science program, has received the Best Paper Award at AINL 2025, an international conference on artificial intelligence and natural language processing held in Novosibirsk.
📝 Paper Title: "When an LLM is apprehensive about its answers — and when its uncertainty is justified"
🔗 arXiv: 2503.01688
What’s the research about?
The researchers tested whether large language models (like ChatGPT) can recognize when they’re wrong. To do this, they compared two different methods of assessing a model’s "confidence" in its answers.
In the first case, they looked at how evenly the model distributes probabilities across different answer options — if all choices seem almost equally likely, then it probably doesn't know the right one.
In the second, the model itself evaluates how well it answered.
It turned out that the first method works well for simple facts, but the second method helps only in easy tasks, and in more complex tasks it often "does not notice" errors.
The study also showed that even popular AI tests can hide biases, and reminded that when creating reliable AI systems, it is important to take into account not only the errors of the model itself, but also the peculiarities of the data on which it was trained.
🎉 Congratulations to Peter on his well-deserved award! Wishing him future scientific achievements!
👨💻 Scientists from Skoltech and MIPT together with Russian and foreign colleagues have developed a new method for parametrizing machine-learning interatomic potentials (MLIP) to simulate magnetic materials. It significantly increases the prediction of their properties and makes it much more reliable and accurate. The research was published in Computational Materials Science and supported by the Russian Science Foundation.
The authors were able to create accurate and reliable MLIPs that require a limited amount of expensive training data. Their key idea was to train MLIPs on magnetic forces — negative derivatives of energy with respect to magnetic moments — in addition to energies, atomic forces, and stresses. The training was performed on data computed for about 2,600 different atomic configurations of an iron-aluminum (Fe-Al) alloy with different component ratios.
The new method showed a tenfold reduction in prediction error for magnetic forces, but virtually no change for energies and conventional forces. The models trained on magnetic forces also proved to be more accurate in predicting the equilibrium magnetic moments of iron atoms.
The authors were able to create accurate and reliable MLIPs that require a limited amount of expensive training data. Their key idea was to train MLIPs on magnetic forces — negative derivatives of energy with respect to magnetic moments — in addition to energies, atomic forces, and stresses. The training was performed on data computed for about 2,600 different atomic configurations of an iron-aluminum (Fe-Al) alloy with different component ratios.
The new method showed a tenfold reduction in prediction error for magnetic forces, but virtually no change for energies and conventional forces. The models trained on magnetic forces also proved to be more accurate in predicting the equilibrium magnetic moments of iron atoms.
📸 Here's the photo album from the recent Open Doors!
At the event, we shared details about our educational programs and presented the new AI Robotics launched in collaboration with Yandex. Participants had the opportunity to chat with Skoltech students and professors about the current trends in robotics, and take a tour of our beautiful campus and state-of-the-art laboratories.
At the event, we shared details about our educational programs and presented the new AI Robotics launched in collaboration with Yandex. Participants had the opportunity to chat with Skoltech students and professors about the current trends in robotics, and take a tour of our beautiful campus and state-of-the-art laboratories.
⏰ Today is the last day to apply for the first wave of Skoltech's PhD program competitive selection process.
Don’t miss your chance — submit your documents through our system by 11:59 p.m. tonight!
Don’t miss your chance — submit your documents through our system by 11:59 p.m. tonight!
🚨The second wave of the competitive selection process is wrapping up soon!
Seize the opportunity to submit your application to Skoltech master's programs by May 12.
Still on the lookout for the perfect program?
Check out the link and don’t wait too long – the competition is only going to heat up!
Seize the opportunity to submit your application to Skoltech master's programs by May 12.
Still on the lookout for the perfect program?
Check out the link and don’t wait too long – the competition is only going to heat up!
✏️ Start your journey to Skoltech today!
In today’s #FAQ, we’re answering another popular question — what documents are required for admission?
Here’s what you’ll need to submit your application:
🔸 Resume
🔸 A scanned copy of your diploma or a certificate confirming your period of study
🔸 Motivation letter
🔸 Two recommendation letters
🔸 Documents confirming individual achievements — such as participation in Olympiads, hackathons, conferences, or any scientific publications (if available)
❗️Important: All documents must be translated into English. You can translate them yourself — notarization is not required.
To make your application journey easier, we’ve put together helpful guides that will walk you through applying to Skoltech, creating a strong resume and recommendation letters, and even giving you examples of online exams.
👉You’ll find more information about Skoltech’s Master’s and PhD programs on our website.
In today’s #FAQ, we’re answering another popular question — what documents are required for admission?
Here’s what you’ll need to submit your application:
🔸 Resume
🔸 A scanned copy of your diploma or a certificate confirming your period of study
🔸 Motivation letter
🔸 Two recommendation letters
🔸 Documents confirming individual achievements — such as participation in Olympiads, hackathons, conferences, or any scientific publications (if available)
❗️Important: All documents must be translated into English. You can translate them yourself — notarization is not required.
To make your application journey easier, we’ve put together helpful guides that will walk you through applying to Skoltech, creating a strong resume and recommendation letters, and even giving you examples of online exams.
👉You’ll find more information about Skoltech’s Master’s and PhD programs on our website.
🤖 On May 21, we invite you to our campus for an Open Doors Day of the joint Skoltech & Yandex program “AI in Robotics”
We'll provide detailed information about the program and its main research areas: application of CV (Computer Vision) and ML (Machine Learning) in robotics, control and coordination system for heterogeneous robots, VLA for real operations model in logistics, navigation and planning systems for robots in real-time in various dynamic environments.
🙋♂️ We’ll guide you through the selection process and document preparation, and answer all your questions.
Additionally, our team will take you on a tour around the campus and laboratories to immerse you in the Skoltech atmosphere.
👉 Register now to secure your spot!
We'll provide detailed information about the program and its main research areas: application of CV (Computer Vision) and ML (Machine Learning) in robotics, control and coordination system for heterogeneous robots, VLA for real operations model in logistics, navigation and planning systems for robots in real-time in various dynamic environments.
🙋♂️ We’ll guide you through the selection process and document preparation, and answer all your questions.
Additionally, our team will take you on a tour around the campus and laboratories to immerse you in the Skoltech atmosphere.
👉 Register now to secure your spot!
🤖 The ReSet team from Skoltech’s Intelligent Space Robotics Laboratory (Engineering Center) has clinched the title of Russian Champion for the ninth consecutive year at the Eurobot Russia Open autonomous robotics tournament!
This year’s international competition theme was "Robot Tours". The team's robots had to be multitasking and could both perform on stage and prepare the concert hall for the performance. There were a total of four robots on stage: a Robot Musician, two robot fans, and a robot concert organizer who built the tribunes.
Led by Skoltech Associate Professor Dzmitry Tsetserukou, our team scored the highest points in paired 100-second matches. Only ReSet’s robots managed to construct a three-tier grandstand.
Congratulations to our champions: Grigoriy Morozov (captain), Artem Voronov, Roman Voronov, Xuan Nguyen, Monijesu James (software), Roman Korobeynikov, Sergei Pasynkov, Agbasiere Chidera Simon (electronics), and Khang Nguyen (mechanics)! 👏
This year’s international competition theme was "Robot Tours". The team's robots had to be multitasking and could both perform on stage and prepare the concert hall for the performance. There were a total of four robots on stage: a Robot Musician, two robot fans, and a robot concert organizer who built the tribunes.
Led by Skoltech Associate Professor Dzmitry Tsetserukou, our team scored the highest points in paired 100-second matches. Only ReSet’s robots managed to construct a three-tier grandstand.
Congratulations to our champions: Grigoriy Morozov (captain), Artem Voronov, Roman Voronov, Xuan Nguyen, Monijesu James (software), Roman Korobeynikov, Sergei Pasynkov, Agbasiere Chidera Simon (electronics), and Khang Nguyen (mechanics)! 👏
🔮 The long weekend ahead could change your destiny and help you join one of the world’s fastest-growing young tech universities !
Right after it ends, on May 12, the final deadline for the second wave of Skoltech’s master’s program admissions will arrive.
You can achieve a lot in the next four days — it’s all up to you!
Right after it ends, on May 12, the final deadline for the second wave of Skoltech’s master’s program admissions will arrive.
You can achieve a lot in the next four days — it’s all up to you!