Research Intern, Phaidra

• Currently pursuing a Ph.D. or master's in a relevant field
• Solid background and proven experience in machine learning and causal inference

Desirable

• You will play a pivotal role in a project dedicated to optimizing the energy consumption of industrial cooling systems
• Analyzing the performance of our existing models in estimating the causal effects of various parameter configurations on energy consumption
• Designing advanced algorithms to improve the precision of estimating these effects
• Creating robust evaluation metrics to thoroughly assess the performance of our models
• Reporting and presenting research findings and developments both internally and externally, verbally and in writing

• Initial screening interview with a People Operations team member (30 minutes)
• Meeting with the Hiring Manager (60 minutes)
• Culture fit interview with Phaidra’s co-founders (30 minutes)