Development and application of statistical methods for the analysis of measurement data; Cooperation with experimental Working Groups of PTB, with the industry, with universities as well as with other European metrology institutes; Canvassing and coordinating projects
You have obtained a relevant university degree (German "Diplom" or Master's) including a doctoral degree; You have well-founded experience in the mathematical and statistical analysis of experiments and measurement processes; You have proven scientific achievements; You have a good command of spoken and written English; You are willing to travel abroad as well as within Germany within the scope of your assignment
11.06.19, 12)41Physikalisch-Technische BundesanstaltSeite 1 von 1file:///Volumes/Server/as%20mediendesign/Kunden/PTB%20Berlin/Anzeigen/2019/0606-19-46-8-scientist-ACCOM+MJ/_HTML/index.htmlThe Physikalisch-Technische Bundesanstalt (PTB) is the National Metrology Institute of the Federal Republic of Germanywith scientific and technical service tasks. It furthers progress and reliability in metrology for society, the economy andscience.Department 8.4 "Mathematical Modelling and Data Analysis" of Division 8 is looking for ascientist specialized in statistics / applied mathematicsto join us as soon as possible. This position is available on the basis of a 3-year fixed-term contract. If you are able toprove your abilities, a permanent employment is possible. Depending on your personal qualifications, the remunerationcan reach up to remuneration group 14 TVöD Bund. You will be employed at our Berlin site.Once hired, the candidate will work in Working Group 8.42 "Data Analysis and Measurement Uncertainty" that deals withthe development and application of methods of statistical data analysis. The research tasks in the Working Group arefrequently motivated by current issues in metrology and are often realized in cooperation with other Working Groups ofPTB, with industry or with external academic partners. Examples comprise large-scale data analysis, Bayesian methods,or approaches for statistical / machine learning.Your tasks:Development and application of statistical methods for the analysis of measurement dataCooperation with experimental Working Groups of PTB, with the industry, with universities as well as with otherEuropean metrology institutesCanvassing and coordinating projectsYour profile:You have obtained a relevant university degree (German "Diplom" or Master's) including a doctoral degreeYou have well-founded experience in the mathematical and statistical analysis of experiments and measurementprocessesYou have an independent and well-structured working styleYou have proven scientific achievementsYou have a good command of spoken and written EnglishYou have excellent communication skills, and you are a team playerYou are willing to travel abroad as well as within Germany within the scope of your assignmentPTB promotes the professional equality of women and men and is thus especially interested in applications from women.Disabled persons will be given priority if they have the same occupational aptitude.Within the scope of the official feasibilities, PTB offers flexible part-time work schemes in order to support in particular thecompatibility of family and profession.For further information concerning this position, please contact:Dr. Clemens Elster, phone: +49 (0)30 3481-7492, e-mail: email@example.comProf. Dr. Markus Bär, phone: +49 (0)30 3481-7687, e-mail: firstname.lastname@example.orgLink to the DepartmentThe closing date for applications is 27th June 2019.Unfortunately, we cannot accept applications sent via e-mail.Are you interested?Then we are looking forward to hearing from you.Please use our application form or send us your application to the following postal address:Physikalisch-Technische Bundesanstalt-Institut Berlin-Reference number 19-46-8Abbestrasse 2-1210587 Berlinwww.ptb.de.Physikalisch-Technische BundesanstaltBraunschweig und BerlinNationales Metrologieinstitut
Please click here, if the Job didn't load correctly.
Please wait. You are being redirected to the Job in 3 seconds.