ORGANISATION/COMPANYBiD4BEST partner institutions through Europe
RESEARCH FIELDAstronomy › Astrophysics
RESEARCHER PROFILEFirst Stage Researcher (R1)
APPLICATION DEADLINE01/05/2020 00:00 - Europe/Brussels
LOCATIONMultiple locations, see work locations below.
TYPE OF CONTRACTTemporary
HOURS PER WEEK40
OFFER STARTING DATE01/06/2020
EU RESEARCH FRAMEWORK PROGRAMMEH2020 / Marie Skłodowska-Curie Actions
MARIE CURIE GRANT AGREEMENT NUMBER860744
Big Data analytics for Black-hole Evolution STudies (BiD4BEST) is a H2020 Marie Sklodowska-Curie Innovative Training Network (MSCA-ITN-ETN) that offers an innovative and intersectoral research training programme for 13 PhD students in one of the most visible areas of astrophysical research, the formation of supermassive black holes in galaxies. A coordinated research training effort in this field has been established to mobilise the community in Europe and prepare a core group of young scientists in anticipation of new observational data in the early/mid 2020s from future space missions with strong European involvement. These data will have the quality and volume to yield transformational science on the formation of black-holes in galaxies, as long as the necessary expertise and synergies among observation, theory and data analytics exist within the European astronomy community. The BiD4BEST brings together leading scientists in observational and theoretical studies of black holes and galaxies, industrial experts in cutting-edge big-data technologies, and professionals in science dissemination. The 13 doctoral research projects available in the network combine state-of-the-art observations, numerical simulations and innovative analytic tools to compare theory with observation and shed light on the physics of black hole formation in the context of galaxy evolution. The training on expertise from different research areas (observational astronomy, theoretical astrophysics) and sectors (academic, industrial) will be achieved by carefully designed secondments, mixed doctoral supervisory committees (academia, industry), well coordinated events for team communication and interaction, as well as network-wide courses on astrophysics and transferable skills. The proposed research training programme aspires to generate individuals that in addition to academic competences, master big-data analytics and have the capacity to apply these technologies to solve problems in different sectors (research, industry, non-academic) by developing innovative products and services.
The following positions are available:
Research projects in “The early black-hole growth in highly starforming, dust-enshrouded galaxies”:
- The accretion and host-galaxy properties of rapidly growing black holes - University of Durham, UK
- Probing the role of orientation in buried AGN - National Observatory of Athens, Greece
Research projects in “Feedback and Outflows: The effects of AGN on their host galaxies”
- Incidence and energetics of AGN winds in the distant Universe - University of Bologna, Italy
- Incidence and energetics of AGN winds in the local Universe - Instituto de Astrofisica de Canarias, Spain
Research projects in “Galaxy properties and AGN”
- The role of mergers and disc instabilities in fuelling AGN - University of Bath, UK
- Measurements of the AGN luminosity function and clustering - National Observatory of Athens, Greece
- Constraints on AGN Eddington ratio distributions from the J-PAS, X-ray, AllWise and LeMMINGs surveys - University of Bologna, Italy
- Connecting AGN to host galaxy properties - Donostia International Physics Center, Spain
Research projects “Bridging theoretical models to key observables”
- Advanced phenomenological models to probe the coevolution of massive galaxies and supermassive black holes through cosmic times - SISSA, Italy
- High-resolution hydro simulations of massive galaxies and their central black holes with AGN feedback and radiative transfer - University of Leiden, The Netherlands
- Semi-analytic models of black hole growth and galaxy evolution - University of Southampton, UK
- Semi-empirical models of black hole growth/galaxy evolution - University of Southampton, UK
- AGN evolution processes and galaxy formation physics in cosmological, multiscale hydrodynamical simulations - Ludwig Maximilian University, München, Germany
Successful candidates will be appointed under a 36-months full-time employment contract with full social security and fiscal coverage, as foreseen by the different countries legislation. The remuneration will be compliant with the rules of the H2020-MSCA-ITN-2019, as by the Marie Skłodowska-Curie Innovative Training Networks 2019, ‘European Union Contribution and Applicable Rates’. The gross amount per year of the allowances includes the salary (39240€, subject to country correction factors), a generous mobility allowance and a family allowance, if eligible (6000€). These gross amounts include all compulsory deductions under national applicable legislation (taxes depend on the country of the host institution).
- A variety of dedicated training activities that include secondments to BiD4BEST academic and industrial partners, as well as courses on topics that range from astrophysics to big-data analytics and soft skills.
- Excellent research environments
- Opportunities for international collaboration with world-class academic and industrial partners.
- Training in a range of state-of-the-art scientific skills, intellectual property and generic skills.
ESR appointments are full time fixed term for 36 months. The researcher will commit to work exclusively for the action. There are strict eligibility rules associated with the recruitment of Early stage Researchers in Marie Skłodwska-Curie Innovative Training Networks, and these are:
- Career: At the date of recruitment, the ESR must have a master degree giving access to PhD, shall be in the first 4 years (full-time equivalent research experience) of their research careers and have not been awarded a doctoral degree. Previous research experience, especially in extragalactic Astrophysics and galaxy evolution is appreciated but is not mandatory. A PhD degree in any field is not compatible with this ESR position.
- Mobility: Transnational mobility is an essential requirement of Marie Skłodwska-Curie Training Networks. The ESR must not have resided or carried out his/her main activity (work, studies etc.) in the PhD host country for more than 12 months in the 3 years immediately prior to the recruitment date. Compulsory national service and/or short stays such as holidays are not taken into account. Applicants must be prepared for a secondment for a total of 11 months at most in the other beneficiaries and partners institutions members of the consortium.
If these criteria are not fulfilled, the applications will be rejected. Candidates matching the required profile will be interviewed until a successful candidate is appointed.
Shortlisting and interviews may vary from February to May 2020. Candidates will be interviewed by a committee that includes at least two BiD4BEST members. Further information on each position can be found under the project titles.
It is obligatory for applicants to read and understand the detailed information regarding the rights and responsibilities of researchers engaged in a Marie Skłodowska-Curie Innovative Training Network. The European Charter for researchers can be accessed at: https://euraxess.ec.europa.eu/jobs/charter/code
Equal opportunities: We value diversity and equality. We recognize that employees may wish to have working patterns that fit with their caring responsibilities or work-life balance. Due consideration will also be given to applicants who have had career breaks for reasons including maternity, paternity or adoption leave, disability or illness.
Personal Data: any personal data will be processed in accordance with the General Data Protection Regulation 679/2016 EU (GDPR) on the Protection of Individuals.
More information on Marie Sklodowska-Curie Innovative Training Networks is available at the following webpage: https://cordis.europa.eu/programme/rcn/703228/en
Specific information on the BiD4BEST project are available at: https://cordis.europa.eu/project/id/860744
Web site for additional job details
REQUIRED EDUCATION LEVELAstronomy: Master Degree or equivalentPhysics: Master Degree or equivalent
REQUIRED LANGUAGESENGLISH: Excellent
- Solid background in Physics, Mathematics and Astrophysics.
- Good programming skills.
- Team working: ability to collaborate with a large international and multidisciplinary team.
- Enthusiasm towards science and discovery.
- any research experience in astronomy, physics or related fields is a plus.
- applicants should be prepared to take extended secondments to both the academic and industrial partners of the BiD4BEST consortium. They are also expected to participate in the extensive outreach activities of the BiD4BEST network.
See the individual project descriptions for more information.
EURAXESS offer ID: 486901
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