In Brief:

Are you passionate about physics and artificial intelligence?

Origen.AI, is looking for one or several (senior) deep learning researchers specializing in physics-informed neural networks (PINNs) to join our team. Origen.AI is laser focused on creating novel technologies with immediate real-world application and benefits. As we continue to grow, our need for brilliant researchers does too. Currently, the OriGen team is heavily focused on PINNs for real-world problems.

We are creating a passionate and engaging culture that combines cutting-edge research and product-led engineering to provide a supportive balance of structure and flexibility. We are looking for colleagues passionate about bringing cutting-edge AI to real-world physical problems.

We are willing to hire both on the senior level and at a more intermediate level, depending on the unique capabilities of individual candidates.

The Job role Includes:

• Inventing and refining deep learning methods for predicting geophysical dynamics, with a current focus heavily towards particular oil reservoir dynamics.
• Interfacing with the software engineering team who are continuously enhancing our PROTEUS platform for our customers in the energy sector.
• Working closely with a research team with a high impact in applied deep learning.

We Offer:

• An intellectually challenging set of problems
• An opportunity to perform cutting edge AI research on problems of critical importance for the world’s future
• Colleagues with deep knowledge of the method and domain
• Excellent opportunities to grow with the company as we scale up
• Competitive salary
• Opportunities to publish and patent
• research in one of the most promising AI startups in the world.

What we Expect from You:

• Strong knowledge of deep learning methods

Qualifications:Minimum Qualifications:

• MSc or equivalent practical experience

Preferred Qualifications

• PhD in machine learning, neuroscience, or computer science
• Relevant publications in physics-informed neural networks
• Experience with coding GPUs (CUDA) is a bonus
• Relevant experience to the position, such as post doctoral roles, a proven track record of publications, or deep neural network architectures
• A real passion for AI
• Excellent communication skills in English