Applied Scientist - Physics-informed ML

As an Applied Scientist at Liminal Insights, you'll engage in developing data solutions aimed at real-world battery manufacturing challenges. Your main tasks will include creating algorithms that extract material properties from ultrasound data and conducting simulations to understand the implications of defects on battery performance. Additionally, you’ll work closely with both engineering and business teams to communicate your findings effectively, ensuring they contribute to our innovative product direction.

To be considered for the Applied Scientist role at Liminal Insights, you’ll need either a PhD or a Master’s degree with equivalent experience, along with at least two years of research experience in algorithm or physical modeling. Proficiency in Python or C/C++ is essential, and experience in computational chemistry, molecular dynamics, or machine learning is highly desirable. We prioritize independent thinkers who are also team players and can effectively communicate their insights.

Absolutely! At Liminal Insights, we encourage all candidates to apply for the Applied Scientist position even if they do not meet every qualification listed in the job description. We recognize that not all strong candidates will fit every criterion, and we value diverse backgrounds and experiences in our hiring process, believing they contribute to our innovative culture.

While not mandatory, having experience with physics-informed machine learning and a solid understanding of topics like phononics, ultrasound, and battery modeling can be advantageous for the Applied Scientist role at Liminal Insights. Additionally, having a record of peer-reviewed publications and experience in developing code for modern high-performance computing environments can set you apart from other candidates.

The salary for the Applied Scientist position at Liminal Insights ranges from $155,000 to $205,000 annually, based on your skill level and experience. In addition to competitive compensation, you’ll also have access to stock options, comprehensive health benefits, and a supportive environment that promotes work-life balance.

While interviewing for the Applied Scientist position at Liminal Insights, be prepared to discuss various modeling techniques such as simulations, numerical modeling, and machine learning approaches you have utilized in previous projects. Highlight specific examples where you applied these techniques to solve real-world problems, showcasing your ability to think critically and creatively.

As an Applied Scientist, collaboration is crucial. Explain your process for engaging with team members at Liminal Insights, emphasizing open communication, setting shared goals, and regularly updating progress. Discuss any strategies you've used to facilitate discussions and ensure everyone's voice is heard, especially in diverse team settings.

During your interview, consider sharing a specific challenge you faced in a modeling project, detailing the complexities involved, your approach to tackle the problem, and the final outcomes. Frame your response to highlight your critical thinking and problem-solving skills effectively.

When asked this question, connect your personal values to Liminal Insights’ mission. Discuss your passion for sustainability and how contributing to a cleaner future drives your work, especially as an Applied Scientist where your research has a direct impact on battery manufacturing.

In your response, illustrate how you simplify technical information without losing its essence. Mention strategies like visual aids or relatable comparisons and emphasize the importance of tailoring your communication to the audience's understanding, something highly valued at Liminal Insights.

The interviewer will be keen to know your proficiency with these programming languages. Provide details about projects where you utilized Python or C/C++, focusing on the complexity of coding tasks and your problem-solving abilities in a software development context.

Discuss your methods for gathering, analyzing, and interpreting data in your research work. Highlight your approach to validating results and how you use statistical tools to back your modeling decisions, showing alignment with Liminal Insights’ data-driven philosophy.

When discussing advancements in battery technology, share insights on trends like solid-state batteries or advancements in recycling technologies. Relate how these developments could influence your role as an Applied Scientist and the potential they have for driving innovation at Liminal Insights.

Outline a methodical approach where you consider the underlying physics involved in your data. Explain how you identify and integrate relevant physical constraints to improve model accuracy, which is essential for successful outcomes at Liminal Insights.

In answering this question, express your ambition to contribute significantly to clean energy innovations and how the role at Liminal Insights aligns with your career trajectory. Discuss your desire for continuous learning and leadership opportunities in the scientific community.