Research Intern (Causal Inference)

Who You Are

A Ph.D. or a strong master's student with a solid background in machine learning and causal inference.

We are seeking a team member located within one of the following areas: United States, Canada, UK, or EU

Responsibilities

You will play a pivotal role in a project dedicated to optimizing the energy consumption of industrial cooling systems. Your responsibilities will include:

• 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.

Onboarding

In your first 30 days, you will:

• Familiarize yourself with industrial cooling systems.
• Initiate the analysis of our models and explore potential areas for improvement.
• Determine the appropriate evaluation metrics.

In your first 60 days, you will:

• Develop a solid understanding of the problem.
• Complete several iteration cycles and be prepared to implement a definitive solution.
• Conduct experiments and report preliminary results.

In your first 90 days, you will:

• Implement the definitive solution.
• Complete all planned experiments.
• Compile a comprehensive report describing the solution and reporting the results.

Key qualifications

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

Preferred Skills & Experience

• Excellent problem-solving skills and attention to detail.
• Ability to work independently and collaboratively in a fast-paced research environment.
• Strong communication and interpersonal skills.
• Prior experience with research projects or contributions to open-source software is a plus.
• Experience applying machine learning to physical systems is a plus.

General Interview Process

All of our interviews are held via Google Meet, and an active camera connection is required.

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

Base Salary Range

• US Residents: $42-$50/hour
• UK Residents: £29-£33/hour
• Canada Residents: CA$40-CA$50/hour

Equal Opportunity Employment

Phaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at [email protected].

E-Verify Notice

Phaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee’s Form I-9 to confirm work authorization for those residing in the United States.

Additional information about E-Verify can be found here.

WE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.