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Senior Scientist (f/m/d) Long-Term Data Sets
Published(102 days ago)
Deadline for applications(76 days ago)
Alfred Wegener Institute Helmholtz Centre for Polar and Marine ResearchHelgoland
The Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI) is a member of the Helmholtz Association (HGF) and funded by federal
and state government. AWI focuses on polar and marine research in a variety of disciplines such as biology, oceanography, geology, geochemistry and
geophysics thus allowing multidisciplinary approaches to scientific goals.
Senior Scientist (m/f/d) long-term data sets
Embedded within the framework of the renowned Helgoland Roads Time, with a focus on the management of the AWI coastal time series team, labs and programmes, we seek an experienced scientist and a communicative team leader.
The work will focus on the long-term data of the North Sea area and include comparative links to other coastal areas, worldwide.
Management of the Helgoland Roads and Sylt Roads long-term ecological time series programmes, the support in the analysis of these data from the German Bight and greater North Sea, and communication
Represent the AWI in national and international consortia and expert groups and network the data with relevant science on a multidisciplinary and international level.
Collaboration with users and evaluation of long term shifts in the data sets and their relation to the ecology in the German Bight and North Sea.
Logistics of amalgamation of long-term nutrient measurements from transects in the German Bight with highly resolved automated FERRYBOX systems.
Use of the overall hydrographic situation of the German North Sea, including current models, as an information base, and inclusion of overarching meteorological parameters.
Streamline the time series in terms of data acquisition, efficiency and introduction of new, more efficient and innovative methods for the observation of coastal seas.
Development of new forms of data dissemination and products
PhD degree with focus on marine systems and large data sets or similar qualification.
Good interpersonal skills, excellent communication skills in both German and English.
Proficiency in handling and managing large data sets, data management and data quality control, and a strong knowledge of methods and programmes for statistical analyses.
Experience with both automated and hand measured nutrient techniques and experience with ferryboxes, in situ monitoring devices and HPLC for accompanying pigment analyses is advantageous.
Willingness to spend time at sea and take part in marine expeditions
For further information please contact Prof. Dr. Karen Wiltshire (Karen.Wiltshire@awi.de, +49(4651)956-4112).
The position is initially limited to two years, with the potential to become a permanent employment. The salary will be paid in accordance with the German Tarifvertrag des öffentlichen Dienstes (TVöD Bund),
up to salary level 14. The place of employment will be Helgoland.
This characterizes us
our scientific success - excellent research.
collaboration and cooperation - intra-institute, national and international, interdisciplinary.
opportunities to develop - on the job, aiming at other positions and beyond AWI.
a culture of reconciling work and family - audited, and even more than that.
our outstanding research infrastructure - ships, stations, aircraft, laboratories and more.
an international environment - everyday contacts with people from all over the world.
having an influence - fundamental research with social and political relevance
flat hierarchies - freedom and responsibility.
exciting topics - also in technology, administration and infrastructure.
Equal opportunities are an integral part of our personnel policy. We encourage women to apply.
Disabled applicants will be given preference when equal qualifications are present. The AWI fosters the compatibility of work and family through various means. Because of our engagement
in the area of work-life compatibility we have been awarded the certificate "Career and Family".
We look forward to your application!
Please forward your application by November 6th 2019 exclusively
Reference number 119/G/Bio-tt
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