HEAD OF GROUP
Main interests: Star formation, exoplanets and habitability, astrophysical plasmas, high-energy astrophysics; large projects on exoplanetary habitability (FWF: PatH), exoplanetary atmospheres (EU H2020: ExoPLANETAS-A),
protoplanetary disks (EU FP7: DIANA); Co-PI or Co-I of ESA/NASA space missions JWST/MIRI, XMM-Newton/RGS, PLATO, CHEOPS (Science Team member), Ariel, Athena, Smile, eXTP; Co-I of ESO ELT instrumentation (METIS), and MARVEL.
DEPUTY HEAD OF GROUP
Permanent Senior Scientist working on exoplanetary habitability and atmosphere modelling.
Sudeshna Boro Saikia
Postdoc on own FWF Lise-Meitner project, Solar/stellar winds, XUV activity, machine learning.
Senior postdoc working on protoplanetary disk observations and modeling, team member of the EU FP7 project DIANA (DiscAnalysis), now FFG project leader; awarded an EU H2020 project on protostellar research, starting 2021.
Oliver Herbort is working as an Ariel fellow PostDoc at the University of Vienna. His work is focussing on atmospheres of rocky exoplanets. Focussing on how the surface conditions of rocky exoplanets can be constrained by future observations. Therefore he is investigating atmospheric compositions based on different elemental compositions and the stability with respect to atmospheric loss and photochemistry.
One of his main interests is the habitability of exoplanets.
Postdoc working on atmospheric/climate models for (exo)planets
Postdoc on EU H2020 project Exoplanets_A working on stellar activity across the electromagnetic spectrum, mainly in the radio and UV/X-ray wavelengths.
Postdoc working on observational star formation. Main interests: low-mass young stellar objects (Class 0/I), hot corino sources, young stellar clusters.
I am a postdoc working on debris discs – analogues of the Asteroid and Edgeworth Kuiper belt in our Solar System.
I investigate the mechanisms that drive planetary system formation and evolution by using collisional models and population analyses.
I do modelling of thermal emission and scattered light data applying optical dust properties of dust based on lab measurements.
Also, I am involved in different outreach projects.
Main interests: numerical hydrodynamics simulations of protostellar disk formation in the primordial and local Universe, formation of giant planets and brown dwarfs via disk gravitational fragmentation, accretion and luminosity bursts in young protostars, high performance computing.
- Formation and evolution of gas-dust protoplanetary disks. Dust growth and formation of planetesimals as the main building blocks of planets.
- Formation of giant planets and brown dwarfs via gravitational instability and fragmentation of massive protoplanetary disks.
- Variable accretion and luminosity bursts: theoretical mechanisms and their effects on disk evolution.
- Development of high-performance magneto-hydrodynamical numerical codes. Parallel programming.
PhD students: Rodrigo Guadarrama (UniVie), Lukas Gehrig (UniVie).
PhD student working on observations of stellar radio emission of solar-type stars, using the JVLA and ALMA telescopes.
My main interests are not only stellar winds, but also the connection/similiarities to the solar wind and the influence on planetary atmospheres.
Member of the PatH project.
PhD student, 2021-, works on protoplanetary disks and stellar spin-down
PhD student 2020-, working on chemistry in protostellar disks.
PhD student working on atmospheric retrieval using JWST observations.
PhD student working on protoplanetary disk simulations
Gwenael Van Looveren
PhD student working on modeling of (exo)planet atmosphere chemistry.
Master student, working on the evolution of stellar rotaiton including magnetic fields.
Master student (2022 - Present) working on the evolution of exoplanetary atmospheres with the Kompot code. Aiming to simulate the atmosphere of K2-18b.
Master student (2022-present ) working on the evolution of planetary atmospheres with the emphasis of the evolution of early Earth.
Master student (2022 - Present) working on automated approaches to spectral analysis by combining conventional and machine learning methods. Additionally, he is involved in the development of a data-driven method for estimating exoplanet properties, using various clustering algorithms.
Master student (2022 - Present) working on developing a neural network model that can simulate the extreme ultraviolet part of a stellar spectra through the technique of transfer learning.
Master student (2022 - Present), working on atmospheric retrievals of synthetic Ariel spectra with machine learning.
Master student (2022 - Present), works on numerical simulations of gas giant atmospheres
Master student, works on protoplanetary disk modeling with TAPIR (perturbations by planets)