Research Associate § 28 Subsection 3 HmbHG

Your responsibilities

Duties primarily include teaching and research. Research associates may also pursue independent research and further academic qualifications.

Own research is supported, but it has to fall in the scientific field of machine learning and Geophysics. The candidate is expected to supervise students on bachelor and master level. Teaching duties include four academic teaching hours per week during teaching periods.

Your profile

A university degree in a relevant field plus doctorate.

For this position you need an understanding of geophysical problems and machine learning algorithms. Good programming skills on Python and experience with machine learning libraries are required. A background in Geophysics (e.g. Seismology) is helpful. You should be interested in learning from data in order to understand different kinds of geophysical processes. Fluent English (spoken and written) and good communication skills are mandatory. Knowledge of German as well as teaching experience is helpful.

With this application we ask you to include in your cover letter a specific idea of which geophysical process you would like to further investigate using machine learning models.

We offer

• Reliable remuneration based on wage agreements
• Continuing education opportunities
• University pensions
• Attractive location
• Flexible working hours
• Work-life balance opportunities
• Health management
• Educational leave
• 30 days of vacation per annum
  
  

Universität Hamburg—University of Excellence is one of the strongest research educational institutions in Germany. Our work in research, teaching, educational and knowledge exchange activities is fostering the next generation of responsible global citizens ready to tackle the global challenges facing us. Our guiding principle “Innovating and Cooperating for a Sustainable Future” drives collaboration with academic and nonacademic partner institutions in the Hamburg Metropolitan Region and around the world. We would like to invite you to be part of our community to work with us in creating sustainable and digital change for a dynamic and pluralist society.

Severely disabled and disabled applicants with the same status will receive preference over equally qualified non-disabled applicants.