AI Scientist: Generative Modeling of Inorganic Materials

PhaseTree; København, Søborg; Vor Ort; DKK 900.000 - 1.300.000; Vollzeit

Benefits dieser Stelle

Warrant program

Flat hierarchy

Open collaboration

Zusammenfassung

PhaseTree, a Copenhagen-based materials discovery company, seeks an ambitious AI Scientist to lead the design and deployment of state-of-the-art generative models for inorganic materials. You will work with a multidisciplinary team to accelerate the discovery pipeline and move models from concept to industrial applications, with opportunities to publish and contribute to a fast-growing start-up.

Ideal candidates have a PhD in a relevant field, strong experience in generative modeling, Python and

Qualifikationen

• Proven capability in generative AI and a passion for scientific applications.
• Technical proficiency in Python and deep learning frameworks.
• Experience applying generative models to scientific domains, preferably in materials science.
• Excellent communication skills, capable of conveying complex technical information clearly and concisely to diverse teams.
• Strong self-starter mentality with attention to detail in a fast-paced, entrepreneurial setting.

Aufgaben

• Develop and deploy advanced generative models, focusing on autoregressive, diffusion-, and flow-based ML models.
• Collaborate closely with a multidisciplinary team of materials scientists, computer scientists, and scientific software developers.
• Solve complex, real-world problems in materials design, speeding up the discovery process.

Kenntnisse

Generative AI

Python

Deep learning

Communication

Materials science

Ausbildung

PhD in Computer Science, Materials Science, Physics, Chemistry, or related field

Tools

DFT

MD

Jobbeschreibung

We are a pioneering materials discovery company headquartered in Copenhagen, Denmark. Our mission is to accelerate the design and discovery of advanced, sustainable materials by leveraging cutting-edge simulation tools and self-driving labs.

We are dedicated to bridging the gap between scientific breakthroughs and practical, real-world applications. Join our dynamic, international, and diverse team where collaboration and innovation are at the heart of innovating for a sustainable future, one material at a time.

Role Overview

We are seeking an ambitious AI Scientist to take the lead in developing and deploying a state-of-the-art generative model for inorganic materials.

This is a high-impact role where your work will directly contribute to our core materials design pipeline, enabling the accelerated design of in-demand materials. You will have the unique opportunity to see the models you develop move from concept to real-world industrial application.

Key Responsibilities

Develop and deploy advanced generative models, focusing on state-of-the-art techniques such as autoregressive, diffusion- and flow-based ML models.

Collaborate closely with a multidisciplinary team of materials scientists, computer scientists, and scientific software developers.

Solve complex, real-world problems in materials design, drastically speeding up the discovery process.

Qualifications

Required Skills:

We are looking for candidates who demonstrate proven capability in generative AI and a passion for scientific applications.

Generative Modeling Expertise: A demonstrated experience in generative modeling within academic or industrial settings, particularly with advanced methods like autoregressive, diffusion-, or flow-based models.

Technical Proficiency: Strong expertise in Computer Science, Python and deep learning frameworks.

Scientific Application: Experience applying generative models to scientific domains, preferably in materials science.

Communication: Excellent communication skills, capable of conveying complex technical information clearly and concisely to diverse teams.

Drive & Detail: A strong self-starter mentality with strong attention to detail and eager to thrive in a fast-paced, entrepreneurial, and technical setting.

Preferred Skills:

These qualifications are a strong plus, demonstrating your readiness for the role:

Advanced Degree: Ph.D. in Computer Science, Materials Science, Physics, Chemistry, or a related field.

Publication Record: A strong publication record showcasing the design and implementation of novel generative models.

Computational Materials Science: Experience with computational materials science methods, such as DFT (Density Functional Theory) and MD (Molecular Dynamics).

Domain Familiarity: Familiarity with common experimental techniques for materials synthesis and characterization.

What We Offer

High-Growth Environment: A unique opportunity to be part of one of the most promising start-ups in materials discovery on an ambitious path to achieve unicorn status.

Impactful Mission: Involvement in solving some of the world’s most complex challenges, directly supporting a greener and more sustainable future.

Financial Upside: Possibility to enter our warrant program at an early stage.

Culture: A welcoming, diverse, and entrepreneurial workplace located in vibrant Copenhagen, Denmark.

Work Style: A vibrant atmosphere with a flat hierarchy, open collaboration, and active idea-sharing.

Fuel:Free coffee, snacks, and even a massage chair to power your creative energy!