Research Internship at CKL â Computing platform auto configuration
Research Internship at CKL â Computing platform auto configuration
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Position: Research Internship at CKL
Project: Computing platform auto configuration
Scientific supervisor:Prof. Dr. Alexander Tormasov
Introduction to CKL:
The Constructor Knowledge Labs (CKL) intends to set the worldwide standard for research into Computer Science AI and Machine Learning Robotics and Neuroscience operating in strong contact with industry and:
- Leveraging CS technologies to address challenges in various fields delivering innovative solutions tailored to industry needs.
- Providing research opportunities mentorship and involvement in collaborative projects to young researchers and PhDs.
- Encouraging interdisciplinary research by fostering collaboration between diverse fields emphasizing the integration of theoretical research with practical application
Project: Computing platform auto configuration
Development of an AI-powered tool for computing platform autoconfiguration. While lower-level platforms provide computational networking and storage resources under standardized controls aligning these resources with project-specific requirements remains a complex challenge. To address this we are creating an AI-driven solution that automates resource configuration for the Constructor Research Platform. This tool will streamline the setup process enabling researchers to focus on their projects while ensuring efficient scalable and optimized use of resources. By analyzing research papers as textual descriptions and integrating source code from repositories like GitHub and Amazon the system will generate fully configured setups. Configurations will be delivered through APIs or auto-generated scripts ensuring seamless resource alignment with project needs. Deliverables include an automation framework for platform setup and package configuration mechanisms to intelligently estimate and adjust resource consumption values and validation through real-world applications.
Requirements:
- Conversational AI
- Databases
- Python
Required Experience:
Intern
Employment Type
Intern
