Professor Tarje Nissen-Meyer

Trained as a (geo-)physicist, my research interests span a wide range of wave phenomena, as related to earthquakes and other vibrational sources, planetary interiors, numerical methods and supercomputing, machine learning, inverse theory, data science, wildlife monitoring, complex ecosystems, soils and sustainable agriculture, the cryosphere, and solar system science. Much of my current work can be summarised as developping geophysical techniques to better understand complex ecosystems, geohazards and finding solutions to preserve our fragile, threatened environment. I collaborate with PhD students, early-career researchers and colleagues in academia, industry, and charities beyond any geographical, cultural, political borders. I'm keen to share the passion for our science and learning with an ever broader audience and (potential) students. Especially as a global geophysicist and human being, I warmly welcome interest from any background and place on this pristine planet that we strive to understand, with a focus on rebalancing the anthropogenic stresses we exert on the many essential and interconnected ecosystems.

Want to join/collaborate/communicate ? Please read on before getting in touch.

I warmly welcome interest in collaborations or joining our group. Funding for positions unfortunately does not exist by default unless announced below, but various routes for finding financial support can be discussed. Please note that we do not offer any (un)funded summer internships. Researchers in our research disciplines gain a strong and diverse background in quantitative wave physics, applied mathematics, numerical methods, supercomputing, machine learning, signal processing of noisy data, inverse theory, and multidisciplinary reasoning in the face of uncertainties. I am particularly keen on diversifying the sciences, and especially welcome interest from colleagues from underrepresented groups and locations around the planet. Academic research might well seem like scary, detached… but as we’re all made of the same molecules, please don’t hesitate to get in touch.

AVAILABLE POSITIONS:

PhD position. Research topics can range from physics-informed machine learning to causal inference in large datasets from wildlife monitoring, and studying near-surface phenomena related to complex ecosystems using vibrational techniques.

Postdoc positions can be discussed in order to apply for external funding, in the field of seismology and machine learning related to near-surface vibrational phenomena, inverse methods, data science and inference, but note that no funded positions are available unless explicitly announced here.

Publications: see Google scholar