Bogolyubov's internship program
Bogolyubov's internship program will be implemented within the framework of academic mobility of Kyiv Academic University. The program is open to undergraduate students of Ukrainian universities who seek to deepen their knowledge in the field of physics, mathematics, biophysics, computer science and join the research together with leading scientists of the NAS of Ukraine. These studies can be the basis of bachelor's and master's theses.
During the internship, students will be provided with a place in the dormitory of the National Academy of Sciences of Ukraine. The scholarship must be paid by the university that sends the student for an internship.
Internship period - from 6 to 12 months.
During the internship, Program participants will be able to receive training in unique courses in various disciplines, including:
- physics of the latest quantum materials, nanophysics;
- quantum optics and quantum information;
- machine learning methods;
- astrophysics, particle physics and cosmology;
- biophysics, neurophysiology;
- mathematical physics.
If you are interested in joining the team, do not hesitate to send us an email indicating your area of interest and attach a resume. We may have other vacancies than those announced below. You can also contact one of the lab members directly. Our team is multidisciplinary, and we welcome candidates with different profiles and knowledge (biology, computer science, medicine…).
Analysis of data on full-genome sequencing of microbiome samples collected in urban environments and modeling the interaction of communities of microorganisms
Superviser: Alina Frolova
The work involves the analysis of new generation sequencing data and the application of machine learning methods to study the diversity of communities of microorganisms present on the surfaces of objects in the urban environment (handrails in public transport, passenger seats, etc.).
- Work requires advanced programming skills and work with linux / unix operating systems
- Understanding statistics and linear algebra.
- Basic knowledge of molecular biology is welcome, but is not necessary and can be accumulated during the work.
- It is planned to use grid and cloud computing for data processing and analysis.