PhD Intern, AI Research Scientist

Overview

Research intern developing physics‑based generative models for character animation.

Requirements

• python
• c++
• pytorch
• tensorflow
• maya
• phd

What You Bring

-Expérience dans la conduite de recherches et la publication de résultats -Deep expertise in areas such as computer graphics, 2D/3D geometry representation learning, generative models, and unsupervised/self-supervised learning -Broad understanding of machine learning and deep learning -Compréhension générale de l'apprentissage automatique et de l'apprentissage profond -Excellentes compétences en programmation et en développement de logiciels, avec une expérience en Python ou C++ -Bonus : expérience avec les outils de modélisation (tels que Maya, Houdini ou Blender) -An excellent communicator and team player -Bonus : expérience avec les moteurs physiques en temps réel (tels que Bullet, Unreal ou PhysX) -Proficient with ML & DL platforms & libraries (PyTorch, TensorFlow, Keras, ONNX/Runtime, scikit-learn, etc.) -Maîtrise des plateformes et bibliothèques ML & DL (PyTorch, TensorFlow, Keras, ONNX/Runtime, scikit-learn, etc.) -Étudiant à temps plein poursuivant un doctorat en informatique, infographie, physique computationnelle, apprentissage automatique ou dans une discipline d'un programme accrédité avec au moins un semestre universitaire à terminer après le stage -Excellent communicateur et esprit d'équipe -Experience with differentiable physics, data-driven computational physics, solver-driven learning (physics-in-the-loop), physics-informed models, multi-physics, and coupled systems -Expertise approfondie dans des domaines tels que l'infographie, l'apprentissage de la représentation géométrique 2D/3D, les modèles génératifs et l'apprentissage non supervisé/auto-supervisé -Full-time student pursuing a Ph.D. in Computer Science, Computer Graphics, Computational Physics, Machine Learning or a discipline in an accredited program with at least one academic term to complete post-internship -Expérience en physique différentiable, physique computationnelle basée sur les données, apprentissage basé sur les solveurs (physics-in-the-loop), modèles basés sur la physique, multiphysique et systèmes couplés -Excellent Programming and software development skills, with experience in Python, or C++ -Experience conducting research and publishing results

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Benefits

-Bonus: experience with physics real-time engines (such as Bullet, Unreal, or PhysX) -$118,560 and $162,240 (PhD students) -$47,840 and $95,680 (undergraduate students) -Bonus: experience with modeling tools (such as Maya, Houdini, or Blender) -$72,800 and $118,500 (Masters/MBA students)

About Autodesk

-Pioneered software for 2D and 3D design, revolutionizing industries. -Known for products like AutoCAD, it reshaped architecture, engineering, and manufacturing workflows. -Empowering creators in fields from construction to digital media, enabling more innovative designs. -Develops tools used in iconic projects, from skyscrapers to blockbuster movies. -Pushes the boundaries of design technology, leading the way in artificial intelligence and automation. -Software is a cornerstone in diverse sectors, from industrial to infrastructure, energy, and entertainment. -Cloud-based solutions streamline design processes and foster real-time collaboration across industries. -A leader in 3D design software, with solutions powering projects in every corner of the globe. -Committed to shaping the future of digital design, bringing complex visions to life.

Sector Specialisms