Phaidra creates AI-powered control systems for industrial facilities, using reinforcement learning algorithms to convert sensor data into intelligent actions. They focus on industrial applications, enabling domain experts to configure AI control systems without writing code. With a track record of applying AI to complex problems, Phaidra is based in the USA but hires globally. They are currently seeking a VP of Research to drive strategic research efforts, pioneer deep reinforcement learning technologies, and contribute to the development of autonomous control systems. The VP of Research will align research initiatives, provide technical leadership, define research problems, collaborate cross-functionally, integrate research into products, foster innovation, and establish thought leadership. The ideal candidate has a Ph.D. in Computer Science or related fields, extensive leadership experience in research roles, and expertise in deep reinforcement learning.
- Phaidra develops AI-powered control systems for industrial facilities using reinforcement learning algorithms.
- They are looking for a VP of Research to drive research efforts in deep reinforcement learning for autonomous control systems.
- The VP of Research will align research initiatives, provide technical leadership, define research problems, collaborate cross-functionally, integrate research into products, foster innovation, and establish thought leadership.
- The ideal candidate has a Ph.D. in Computer Science or related fields, extensive leadership experience in research roles, and expertise in deep reinforcement learning.
- Phaidra operates remotely and hires globally, with team members located in multiple countries.<br>#### COPY, SHARE, AND EXPORT
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> 1. Can you tell me about your experience in leading research initiatives in an industry setting?
> 2. What has been your most impactful research project in the field of Deep Reinforcement Learning?
> 3. How do you align research initiatives with strategic goals and market demands?
> 4. How do you foster a culture of innovation and experimentation within a research team?
> 5. Can you provide an example of a time when you successfully translated research outcomes into practical solutions for real-world challenges?
> 6. How do you manage research budgets effectively?
> 7. How do you mentor and manage direct reports and sub-teams?
> 8. Can you discuss your approach to driving strategic initiatives and thinking creatively in a fast-paced environment?
> 9. How do you communicate complex technical concepts to diverse audiences?
> 10. Can you give an example of a time when you collaborated with cross-functional teams to ensure the alignment of research goals with practical applications?
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> *Dear [Candidate's Name],*
> *I hope this email finds you well. My name is [Your Name], and I am a Recruiter at Phaidra. We are impressed by your expertise in Deep Reinforcement Learning and believe that you would be a great fit for our team.*
> *Phaidra is a trailblazing company that is revolutionizing the future of industrial automation. We specialize in creating AI-powered control systems for the industrial sector, enabling facilities to learn and improve autonomously over time. By using reinforcement learning algorithms, we convert raw sensor data into high-value actions and decisions. Our focus on industrial applications, which are well-sensorized with measurable KPIs, makes us leaders in the field.*
> *Currently, we are seeking a VP of Research to drive the strategic direction of our research efforts. In this role, you will play a pivotal part in exploring the potential of Deep Reinforcement Learning for real-world industrial control systems. Your responsibilities will include aligning research initiatives with our company's goals, providing technical leadership, defining research problems, collaborating with cross-functional teams, integrating research outcomes into our products, and much more.*
> *If your interest, we would love to set up some time to get to know you.*
> *Best regards,*
> *[Your Name]*<br><iframe title="YouTube video player" src="https://www.youtube.com/embed/09hWT0pgEiQ?si=njE7IRb8y8EdOGOe" height="315" width="100%"></iframe>