Internship Overview
Constructor is a one-stop platform for learning and research. It's really good at using smart computers and data knowledge. Constructor helps schools, colleges, businesses, sports teams, and others. It gives tools for teaching, managing, learning, and researching.
From the basic stuff to fancy tools, Constructor makes learning better, helps teachers, and boosts discoveries.
We're based in Switzerland, but we also have offices in Germany, Bulgaria, Serbia, Turkey, and Singapore.
Our "AI for Big Science" team is doing cool stuff by mixing smart computers with science. We're trying to solve big problems in science using smart computer tricks. We're offering internships for students who want to learn by working with smart people on real science projects.
As an intern with the "AI for Big Science" team, you will:
- Work on research projects that blend AI/ML with different areas of science.
- Use your AI/ML skills to tackle cutting-edge challenges in big science, gaining valuable experience for your future career in research.
- Enhance your technical abilities in data processing, machine learning, and developing AI applications.
Motivation:
This internship is perfect for students who love using AI and ML to help make scientific progress. As interns, you'll get hands-on experience, learn a lot, and improve your skills in a real research environment.
Benefits
- Competitive Salary
- Flexible working Schedule
- Comprehensive health insurance
- Newborn bonus
- Work equipment (Laptop, monitor)
- Networking
Requirements:
- Enrolled in a Bachelor's program related to Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Strong skills in data processing and machine learning.
- Proficient in Python, with practical experience using ML frameworks like PyTorch or TensorFlow.
- Knowledge of efficient computation packages like NumPy is necessary.
- Excellent problem-solving skills and a willingness to work collaboratively.
Potential Projects
Develop Algorithms for New Probabilistic Computing Hardware
Design Knowledge Graph with LLMs
Design LLMs Capable of Logical Reasoning
Design Models for Assessing Knowledge Graph Evolution
Design Physics Interpretation Models
Develop Methods for Monitoring Flying Vehicle Composite Hull Integrity
Documents
- Resume
- A cover letter
Emphasize your pertinent experience and enthusiasm for the internship, along with any coding or project samples aligned with the internship's requirements. Links to GitHub repositories, academic papers, or other relevant documentation are encouraged.
How to Apply
You will find the application link below