AI in Material Science
Head of the programme
Name
Head of the programme
Name
The career of "AI expert in chemistry" includes positions such as research scientist, computer chemist, or AI expert who uses artificial intelligence to advance chemical developments, materials development, and analytical methods.
Career opportunities
Key competencies
- Domain knowledge:Deep knowledge of chemical concepts, structures, and principles.
- Artificial Intelligence/ML skills:Artificial Intelligence/ML skills: Mastery of machine learning concepts and experience in the development and implementation of artificial intelligence are crucial.
- Data analysis:The ability to interpret large sets of chemical data and understand how AI models work with this data.
- Communication skills:Clear communication skills are needed to explain complex chemical concepts and evaluate AI-generated content.
Examples of AI applications in chemistry
- Drug development:Artificial intelligence can accelerate the search for new candidate drugs by predicting molecular interactions and properties.
- Development of materials:Algorithms can create new materials with special characteristics such as strength, conductivity, or reactivity.
- Spectroscopy:Artificial intelligence models can analyze complex spectral data to identify compounds and determine their structure.
- Synthesis planning:Искусственный интеллект может помочь в планировании сложных путей химического синтеза, что делает процесс более эффективным.
Academic career:
Graduates continue to work on scientific projects in postgraduate studies at leading Russian and foreign universities. There are very few graduate programs at the intersection of chemistry and AI in the world, and there is a great demand for researchers in this field. Research scientist:
Conducts research in the field of AI applications in chemistry, focusing on areas such as drug development, materials science, or computer mo2.
Industrial career:
Graduates can build careers in large pharmaceutical, chemical, oil and gas, engineering, and IT companies.
These companies are developing R&D departments that are engaged in research and development, as well as solving non-standard tasks and moving into subject areas that include natural sciences.
These companies are developing R&D departments that are engaged in research and development, as well as solving non-standard tasks and moving into subject areas that include natural sciences.
Develops new methods of applied mathematics, computer science, and high-performance computing for modeling, analyzing, optimizing, and predicting the properties and behavior of complex systems (processes) in various high-tech fields.
Processes and analyzes large amounts of data using mathematical statistics and modeling techniques, finds hidden patterns, and develops forecasts to solve business and scientific problems.
Studies the structure. And the properties of nature at various levels of the organization of matter
Designs new materials and technologies based on the required properties and functions that they must perform in the industry. To do this, it uses access to big data results based on available materials.
Prepares data for AI training.
Develops models for big data analysis
Develops composite materials as part of smart environments
Using digital models, experiments with the properties of nanomaterials and predicts their cycle
Uses AI and machine learning techniques to predict the properties of molecules, simulate chemical reactions, and develop new compounds.
Develops and implements artificial intelligence models for the design and discovery of new materials with desired properties.
Programme News
Adding news notes related to this programme: photos, date of publication (with the ability to edit the date), text with the ability to insert images, videos, tables, links, upload documents
Rankings
The SFedU operates a point-ranking system for assessing students' knowledge during the ongoing control and interim assessment of students’ progress. Students can see their scores in their personal account. The ranking of students by points is taken into account when switching to a non-fee form of training.
Practical training
During their studies, students take a practical training in the form of a research project, an internship at a partner company, and a pre-diploma training, aimed at preparing their Master thesis.
State final attestation
The state final attestation is a public defense of the Master thesis before the commission. The commission includes teachers and representatives of business structures and other universities.
Student exchange
Student exchange
Master students can take part in exchange programmes in the 2nd or 3d semester. More https://sfedu.ru/www/stat_pages22.show?p=INT/N12598/P
Master students can take part in exchange programmes in the 2nd or 3d semester. More https://sfedu.ru/www/stat_pages22.show?p=INT/N12598/P
The information will be available soon.