Postdoctoral Associate in Quantum Sensors 9/20/2017
JOB DESCRIPTIONAPPLY Group 89 Quantum Information and Integrated Nanosystems Group
The Quantum Information and Integrated Nanosystems Group conducts quantum information science research from a shared foundation of innovative control-signal design, outstanding fabrication tools, and well-equipped measurement infrastructure. The group has a broad range of experimental and prototyping activities. The group's quantum information science activities include the development of superconducting and trapped-ion qubits and quantum sensing with nitrogen-vacancy (NV) centers in diamond. In addition, the group has robust capabilities in classical superconducting circuits, complementary metal-oxide semiconductor (CMOS) design and fabrication, and integrated photonics. These component technologies are used in synergy with quantum information science demonstrations, as well as in standalone applications that include beyond-CMOS circuit technologies, energy-starved sensors, compact optical communication and laser radar transceivers, and microwave photonic signal processing.
MITLL Quantum information and integrated nanosystems group seeks highly motivated researchers within the field of quantum information, particularly in magnetic sensoring and precision measurement. Experience in solid-state sensors, such as nitrogen vacancies in diamond, or in atomic sensors is necessary. Experience in diamond growth and NV diamond processing is ideal, but not required.
Requirements include a Ph.D. in Physics or related field, at least three years of experimental work on solid-state or atomic sensing, and ability to demonstrate effective programming skills. Expertise in MATLAB/Mathematica, Solidworks, and Comsol is desired.
**This is a postdoc appointment**
MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.