We inviteresearchers and engineers from the fields of Optics, Machine Learning, Computer Systems,Industrial design and Electronic Engineering to join our new interdisciplinary two-year Residency Program in the Cloud Infrastructure team at Microsoft Research in Cambridge, U.K.
The Cloud Infrastructure team is engaged in several cutting-edgeresearch programs torevolutionise storage, computing, and networking at cloud scaleusingadvanced optical technologies. To this end we have assembled an interdisciplinary team including computer scientists, machine learning experts, optical scientists, industrial designers, electronic engineers, and mechanical engineers. To be successfulin such a team requires an openness and aptitudeto learn some of the skills and vocabulary of the other disciplines.
The global scale of the Microsoft cloud provides our team with opportunities to transform the technology underpinning modern society.For example, we are usingholographic optical technology to change the way the cloud can store and rapidly accessdata; we are rethinking computation to improve throughput and reduce energy consumption; and we are working on next-generation data networks with higher bandwidth and greater efficiency.All these projects involve the co-design of software and hardware to achieve the best possible overall solution.
During the residency you will join our multi-disciplinary research team and work directly with the researchers either on one of ourcurrent research projectsoron the incubation of a completely new idea.Additionally, as a resident working in Intelligent Optical Systems Design you will be part of the larger Cambridge Residency program at Microsoft Research, Cambridge. This will giveyou the opportunity interact with a vibrant wider research community working on Machine Intelligence, Healthcare Intelligence, Confidential Computing,and the Future of Work.
The program will enhance specialist and cross-disciplinary skills. If you are a computer scientist with a background in systems, you should expect to learn about the physics and optics that will underpin any deployment of an optical system in a datacentre. If you are an optical scientist, you can expect to advance in your own field and learn how cutting-edge machine learning and computer science are applied to system design.
All candidates must have enthusiasm to learn new skills outside theirmain field and must be able to demonstrate the ability and humility to work in a highly collaborative and interdisciplinary environment.Candidates from all disciplines will need experience beyond a bachelor’s degree. For example,you may have completed, or be on track to complete, a relevant PhD or other postgraduate qualification, or have industrial experience.Beyond these core attributes, there are skills which are desirable for each discipline. Candidates are not expected to have specialist skills in more than one of the following areas.
Optics & Photonics
The successful candidate must be skilled and bring a strong background in at leastoneof the following areas:
Free space optics, for example microscopy and imaging.
Optical transmission systemsand networks.
Photonic integrated devices.
Digital signal processing.
Using femtosecond lasers technology to modify materials.
Quantum optics andphysics.
Interest in solving real world high-impact problems in new domains using machine learning.
Knowledge of deep learning. Problem areas include (but are not limited to): computer vision, signal processing, sequential design, reinforcement learning for system control.
Experience with current deep learning frameworks (e.g., PyTorch and TensorFlow) is preferable.
Software engineering skills for development.
Research or implementation experience in distributed systems, networking, or storage systems.Examples include but are not restricted to:designing a network or storage protocol, simulation or measurement of large systems orbuilding microprocessor-based control systems.
Demonstrable aptitude for solving computing research problems with software implementation.
Capability for rapid and accurate development in,for example,C, C++, or C#.
Industrial or other practical experience in design.
Demonstrable aptitude for mechanical and automated systems.
CAD skills (e.g., SolidWorks, Rhino, etc.) and show experience of rapid prototyping and production of high-quality demonstrators (physical, animated, etc.).
Theoretical electronic circuit and electronic systems knowledge in analogue anddigital electronics, for example: component-level filter and amplifier design, FPGA programming, control theory, sampling theory and signal processing.
Demonstrable practical electronic design, construction and debugging skills.
Ability to undertake design from simulation to working prototype.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Here at Microsoft Research in Cambridge, we truly aspire to transform the world through deep research.
The Cloud Infrastructure team is engaged in several cutting-edge research programs to revolutionise storage, computing, and networking at cloud scale using advanced optical technologies. To this end we have assembled an interdisciplinary team including computer scientists, machine learning experts, optical scientists, industrial designers, electronic engineers, and mechanical engineers. To be successful in such a team requires an openness and aptitude to learn some of the skills and vocabulary of the other disciplines.
The global scale of the Microsoft cloud provides our team with opportunities to transform the technology underpinning modern society. For example, we are using holographic optical technology to change the way the cloud can store and rapidly access data; we are rethinking computation to improve throughput and reduce energy consumption; and we are working on next-generation data networks with higher bandwidth and greater efficiency. All these projects involve the co-design of software and hardware to achieve the best possible overall solution.