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Bayi Glacier in Qilian Mountain, China (Credit: Xiaoming Wang, distributed via imaggeo.egu.eu)

Job advertisement Postdoctoral Research Assistant (m/f/d) E 13 TV-L

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Postdoctoral Research Assistant (m/f/d) E 13 TV-L

Position
Postdoctoral Research Assistant (m/f/d) E 13 TV-L

Employer

LIAG-Institut für Angewandte Geophysik, Stilleweg 2, 30655 Hannover

Homepage: https://www.leibniz-liag.de


Location
Hannover, Germany

Sector
Other

Relevant divisions
Geosciences Instrumentation and Data Systems (GI)
Seismology (SM)

Type
Full time

Level
Experienced

Salary
salary group 13 of the collective agreement for the public service of the German states (TV-L)

Required education
PhD

Application deadline
20 August 2024

Posted
30 July 2024

Job description

The LIAG-INSTITUTE FOR APPLIED GEOPHYSICS is looking for you to start as soon as possible with 100 % of the regular weekly working time for a permanent position as

Postdoctoral Research Assistant (m/f/d)
E 13 TV-L

Job posting number G 25/24
Keyword: „Applied reflection seismic – numerical techniques“

LIAG uses complementary geophysical methods to investigate both structures and processes in the Earth’s upper crust, thereby combining application-oriented and basic research. The work currently focuses on geohazards, groundwater, and georeservoirs. In the field of reflection-seismic methods, LIAG’s expertise lies in the development of measurement techniques for compressional-wave and multicomponent seismic methods and their application in the high-resolution exploration of near-surface structures.
We pursue coordinated scientific development of the reflection-seismic method and the applied research topics. You will be continuously involved in developing innovative approaches in the acquisition, processing and evaluation of reflection seismic data. In particular, you will take complete scientific responsibility for the integration and, if necessary, further development of appropriate numerical methods for data analysis and, thus, contribute to the best possible understanding and utilization of the information content of the data. Approaches include, for example, full waveform inversion, FD/FE modelling, machine learning, and the joint inversion with other data. You will contribute significantly to this by developing your own ideas and the acquisition of third-party funds as well as an internal and external professional networking.
LIAG offers a wide range of opportunities for personal development and the definition of one’s own scientific research, an active and inspiring scientific environment, and excellent networking in the international research community. With flexible working hours, including opportunities for mobile working, we contribute to the compatibility of career and family.
Please enclose an outline of your research ideas (approx. one page) with your usual application documents.

Required qualifications and experience:

  • University degree (Master’s degree or equivalent) in Geophysics, Geosciences with a focus on Geophysics, Physics or a comparable field
  • Doctorate, preferably in a topic related to applied reflection-seismic methods
  • Sound theoretical knowledge and scientific experience in the fields of applied reflection-seismic methods and seismic wave propagation
  • Experience in seismic wave-field modelling (e.g. FD/FE modelling) and inversion (e.g. FWI) of seismic data
  • Experience in the acquisition, processing, and interpretation of reflection seismic data
  • Evidence of scientific achievements in these fields through publications in international peer-reviewed journals
  • Very good programming skills (e.g. Python, Matlab, etc.)
  • English language skills (at least comparable to level B2 GeR); willingness to learn German, if necessary
  • Willingness to participate in field surveys in Germany and abroad (approx. 6 weeks per year spread over several periods)
  • Creativity, ability to work in a team, professionalism
  • Class B driving licence, willingness to obtain a class BE driving licence (paid by LIAG)

Ideally, you also meet the following requirements:

  • First experience in the use of machine learning techniques (e.g. artificial neural networks, deep learning)
  • International networking
  • Experience with additional applied geophysical methods
  • Successful acquisition of third-party funding
  • Interest in teaching and promotion of young talent

We offer:
LIAG enjoys an excellent reputation, both nationally and internationally. The institute is characterized by excellent infrastructural integration into the GEOZENTRUM Hannover, state-of-the-art and high-performance equipment (IT, laboratory, field), strong networking, and a friendly, professional and collegial working-environment. LIAG promotes further education and training of its staff.

The place of employment is Hannover, Germany. The classification takes place in pay group 13 of the collective agreement for the public service (TV-L). (Collective Agreement for public service of the German states, TV-L), taking into account § 40 No. 5 TV-L (consideration of professional experience).

We welcome applications from people of all nationalities, regardless of their origin, gender, religion or belief, disability, age or sexual identity. LIAG also pursues the goal of equal professional rights for women and men. Therefore, we particularly welcome applications from women. With flexible working hours, we offer you a responsible and varied job that is also suitable for part-time employees and as a re-entry after parental leave.

The LIAG endeavours to increase the proportion of severely disabled people, which is why they will be given preference, if they are equally qualified.

Please submit your application electronically (PDF with max. 10 MB) with meaningful documents, quoting the job advertisement number G 25/24 and the keyword ‘‘Applied reflection seismic – numerical techniques” via career@leibniz-liag.de to Prof. Dr. Gerald Gabriel until 20.08.24.

More information about our institute is available on our website www.leibniz-liag.de. For further information, please contact Gerald.Gabriel@leibniz-liag.de.