Research Scientist in Science (Quantum Machine Learning)

InstaDeep

Oct 11, 2023

Applications are closed

Internship
Full-time
Off-cycle Internship
Research & Development
Data
London

Requirements

Requirements:
PhD in quantum physics, computer science, machine learning or a related scientific field.
Proven ability to contribute to research communities and/or efforts, including publishing scientific papers in leading journals or conferences.
Excellent communication skills and a collaborative spirit.
Software development skills in Python.
Desirables:
Experience with developing machine learning models in frameworks such as Jax, PyTorch or TensorFlow is highly desirable.
Further experience with packages for quantum ML, simulation or calculations such as PennyLane, Qiskit and PySCF would be a plus.
Experience, especially within the context of machine learning or quantum computing, with any of the following would be a plus;
Quantum chemistry calculations
Drug discovery
Molecular dynamics
Quantum hardware
Error correction/mitigation for quantum devices
Fault-tolerant quantum algorithms

Responsibilities

Develop novel research and help to shape InstaDeep’s agenda within the field of quantum machine learning.
Contribute to team research and publications.
Develop collaborations with both academic and industrial partners.
Track ongoing developments in machine learning methods for quantum systems/quantum chemistry, quantum algorithms, applications and hardware.
Report and present experimental results and research findings, both internally and externally, verbally and in writing.
Upon request, collaborate with other groups’ activities, including but not limited to presenting the company to new prospective clients, participating in calls and meetings, and representing InstaDeep at conferences/events.

InstaDeep

Accelerate the transition to an AI-first world that benefits everyone

Technology

Industry

51-200

Employees

2014

Founded Year

Mission & Purpose

InstaDeep is a leading global technology company offering a range of AI solutions, ranging from optimized pattern-recognition, GPU-accelerated insights, to self-learning decision making systems. - Decision-making systems: Life and business are all about decisions. InstaDeep harnesses the power of reinforcement learning to create systems that can make decisions on their own, based on their own autonomous training. Many fields can benefit greatly from this technology, be it robotics, mobility, logistics, finance or healthcare. - GPU-accelerated insights: When you try to deploy AI in your business, compute power is key. A Multi-GPU setup can be messy and complicated. With Nvidia’s DGX-1 (one of the most powerful AI machines on the market), InstaDeep can help you achieve insane computing power to solve even the most intensive AI problems. - Optimized Deep Learning: Deep Learning delivers high-performance AI for pattern recognition yet is notoriously time-consuming to fine-tune. InstaDeep boosts this process to save you time and money on your computer vision, natural language processing or predictive analytics project.