Open Position Postdoctoral Position in Gravitational Waves Physics
\n
Aumente sus posibilidades de llegar a la fase de entrevista leyendo la descripción completa del puesto y enviando su solicitud sin demora.
\n
About IFAE The Institut de Física d’Altes Energies (IFAE) is a public consortium of the Generalitat de Catalunya, the Autonomous Government of Catalonia, and the Universitat Autònoma de Barcelona (UAB, a public university) whose main objective is to carry out research and to contribute to the development of high energy physics from a theoretical, experimental and technological point of view. IFAE has the status of a “University Institute\" attached to the UAB and its premises are within the campus of the University.
\n
About the IFAE Gravitational Waves group The detection of GWs from a black hole binary merger by LIGO in 2015 started a new era in the exploration of the universe. The addition of the Virgo antenna into the network led in 2017 to the detection of a neutron star binary merger that could be followed in electromagnetic signals, representing the beginning of multi-messenger astronomy. At the moment, LIGO and Virgo observation plans extend until 2030 with upgraded detectors.
\n
At the same time, work is beginning on the development of the third generation of detectors which will offer an order of magnitude increase in sensitivity.
\n
The ET project, a third-generation experiment to be realized in Europe, has been included in the 2021 EU ESFRI roadmap and has recently entered into the preparatory phase. CE is the planned US contribution to the third-generation GW network, with significant funding from the US NSF and the UK’s STFC for design studies.
\n
IFAE is a member institution of the LVK collaboration. A group of researchers from IFAE has taken significant responsibilities in the Virgo experiment related to the control of the stray light inside the experiment, which is considered a limiting factor for its sensitivity. The group plays an important role in the commissioning, operations and upgrade of the interferometer. For the latter, IFAE is leading the construction of new baffles instrumented with photo sensors around the test masses.
\n
IFAE is actively participating in ET, coordinates the EU Horizon INFRA-DEV project for the ET preparatory phase, and has central responsibilities in the design of the stray light control systems. In addition, IFAE is deeply involved in the detector R&D; and optical simulation activities of ET and CE. IFAE works with CERN in the design of the ET vacuum pipes.
\n
The IFAE research program spans many topics in astrophysics and cosmology using LIGO-Virgo data. This includes searches for compact binary coalescence events and determining their mass/spin spectrum, and for primordial black holes and axion-like particles as candidates for dark matter. We perform tests of exotic models for Gravity beyond General Relativity, and cosmological measurements using GWs such as Hubble constant and probes of inflation and phase transitions in the early universe.
\n
We are developing new data analysis methods like the use of deep learning and the use of robust statistics. This work is naturally extended to studying physics prospects for the next generation of detectors.IFAE is supported by its own PIC computing center, a Tier1 LHC center fully integrated into the LIGO/Virgo distributed computing network. IFAE is in a privileged position to analyze the LIGO/Virgo/KAGRA data and, in collaboration with IFAE’s teams in CTA/MAGIC and Observational Cosmology, to fully profit from a multi-messenger approach.
\n
IFAE welcomes applications from outstanding candidates with experience on the GW detector design and optical simulations, as well as on the physics analysis of the GW data.
\n
Required skills and evaluation criteria The successful candidate is expected to have:
\n
PhD Physics
\n
Internationally recognized experience on research using the LIGO-Virgo data
\n
Experience developing pipelines and code for gravitational-wave searches and/or parameter estimation
\n
Knowledge of advanced Bayesian methods and samplers, machine learning approaches to signal processing; additionally other methods such as simulation-based inference
\n
Good computing skills in python and good communication skills in English.
\n
The process of evaluation and selection guarantees the principles of open competition, publicity and transparency, according to the following criteria:
\n
Evaluation Criteria
\n
Points
\n
Research records and international visibility 30
\n
Computing and Technical Skills 30
\n
Experience on physics analysis 30
\n
Communication skills in English 10
\n
What will be your role?
\n
The candidate will be expected to play a central role in the group’s activities in both data analysis and detector characterization. The candidate will implement new methods for compact binary se