EFTS 2019 – European Frequency and Time Seminar (announcement)

We are pleased to announce the 7th European Frequency and Time Seminar (EFTS), Besancon, France, July 1-5, 2019.

The EFTS is an intensive full-week seminar intended to provide education and training with lectures and laboratory sessions. It targets a broad audience: Engineers, Ph.D. Students, Post-doc Fellows, Young Scientists, Newcomers, etc.

This seminar is original in the following:
· Broad spectrum of topics related to time and frequency
· Broad target audience, yet keeping high level education
· Balance between academic and applied issues
· True laboratory sessions (as opposite to demos). The attendees are expected to practice on a wide range of instruments made available.

At the 2019 EFTS, we plan 23 lectures, 12 H labs in small groups, visits at the Femto-ST Institute and the Observatory of Besancon, social events, and an Astronomy Session on the « exact time » from stars.

Registrations will only open at the end of January. However, pre-registrations (no invoice issued) are welcome.

Detailed program and Abstracts are being prepared, and will be available later. In the meanwhile, you can download the Abstracts of the previous edition.
You may also like the Enrico’s Chart of Phase Noise and Allan Variance.

January 2019: Registrations open.
Thursday, April 25, 2019: Early Birds (reduced rate) deadline.
Wednesday, June 12, 2019: Regular Participants (full rate) deadline.
Notice that there is a limited number of places set by the capacity of labs, first registered, first served.
A small number in excess can be allowed on a reduced version of the seminar (full lectures, and 4-6 H labs only). Contact us for availability and rate.

The EFTS is a non-profit seminar started in 2013 by Enrico Rubiola, and run every year at the Femto-ST Institute. It is sponsored by Gov, Academic and Int’l Institutions, and lives on the volunteer work of its Instructors and Staff.
The Femto-ST Institute is a French Gov lab affiliated to the National Research Council CNRS under the number UMR 6174.