Professor at the University of Western Australia since 2010, leading the Data Intensive Astronomy Program (DIA) of the International Centre for Radio Astronomy Research (ICRAR) to research, design and implement Petabyte scale data flows and high performance scientific computing for the Square Kilometre Array, the Murchison Wide Field Array (MWA), the Australian SKA Pathfinder. During his graduate, post-graduate and post-doctoral appointments, he was involved in the software development and reduction of photometric and astrometric Tycho data from the ESA Hipparcos satellite. He joined the European Southern Observatory (ESO) in 1997 as an archive specialist and was involved in the final implementation of the archive for ESO's Very Large Telescope (VLT) and the ESO Imaging Survey. Between 2002 and 2010, he was employed as ESO's Archive Scientist and led the development group of the ALMA archive subsystem. Prof. Wicenec is also involved in the International Virtual Observatory Alliance (IVOA). His scientific interests and publications include high precision global astrometry, optical background radiation, stellar photometry, dynamics and evolution of planetary nebulae and observational survey astronomy and the related data management, scheduling and computational concepts.

Director of the Data Intensive Astronomy Program at ICRAR

European Southern Observatory: Archive Specialist and Science Archive Scientist
University of Tübingen: Research Assistant

SKA Science Data Handling and Processing contributions
The Data Activated Flow Graph Engine (DALiuGE, https://github.com/ICRAR/daliuge)
Rialto, a project in collaboration with CSIRO and support by a 1.66 million dollar grant to combine DALiuGE with the data reduction software for the Australian SKA Pathfinder, ASKAPSoft.
SKA observation adn processing schduling
Science reproducibility
NGAS, the Next Generation Archive System, a project which is supporting the data flows of many of the largest observatories in the world (https://github.com/ICRAR/ngas)
Australian SKA Pathfinder Data-intensive science reduction system

Efficient data archiving and data flow optimization. High performance persistence systems. Large scale astronomical survey systems. NP-hard scheduling, reprodicible science. High precision astrometry and photometry and stellar dynamics.