Researcher - climate hazards and risk analysis (R2)

Job Reference

24_21_ES_CP_R2

Position

Researcher - climate hazards and risk analysis (R2)

Closing Date

Wednesday, 31 March, 2021
Reference: 24_21_ES_CP_R2
Job title: Researcher - climate hazards and risk analysis (R2)

About BSC

The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, and is a hosting member of the PRACE European distributed supercomputing infrastructure. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 700 staff from 49 countries.

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Context And Mission

The position is hosted in the Climate Prediction Group within BSC’s Earth Sciences Department. The Climate Prediction Group aims at developing climate prediction capability for time scales ranging from a few weeks to a multiple decades into the future, and from regional to global scales.

The offered position is funded by the European H2020 project LANDMARC, which explores the potentials for land-based climate change mitigation. Within LANDMARC, this position aims to understand climate-related hazards that can put the land-based mitigation technologies at risk.

The successful applicant will be responsible for analysing large ensembles of climate projections, focussing on climate extremes and other climate hazards under current and future climate conditions. The research will also require to develop an understanding of specific sensitivities and vulnerabilities of land management technologies to climate conditions.

Key Duties

  • Perform comprehensive analyses of a range of climate extremes and climate hazards in large ensembles of climate projections (CMIP6)
  • Understand specific climate sensitivities and vulnerabilities relevant to the land-based mitigation implementations (such as forests, peatlands, soil carbon, agricultural practices)
  • Develop a physical understanding for the changes in climate hazards, based on which emergent constraints can potentially be developed
  • The candidate will work closely with scientists within the Climate Prediction Group and other groups of the Earth Sciences Department

Requirements

  • Education
    • PhD in atmospheric or climate science, physics, applied mathematics, or a related discipline
  • Essential Knowledge and Professional Experience
    • Proven ability to prepare and submit manuscripts to peer-reviewed scientific journals
    • A demonstrated ability to analyse high-frequency (e.g. daily) data from large climate model ensembles
    • Experience in the analysis of climate extremes
    • Programming skills: scripting (e.g. bash, python), data analysis and visualization software (e.g. CDO, NCO, R, Python, NCL)
  • Additional Knowledge and Professional Experience
    • Interest and capacity in participating in the writing and, when possible, leading the preparation of research and computing proposals
    • Knowledge of version control systems (git, svn, cvs…)
    • Interest in tutoring and/or advising master and PhD students
    • Experience in interacting with stakeholders interested in climate information and inter-disciplinary teams will be valued
    • Previous postdoctoral experience will be valued
  • Competences
    • Fluency in spoken and written English, while fluency in other European languages will be also valued
    • Highly collaborative spirit and ability to work as part of a large, strongly-coordinated team and to continuously share both knowledge and tools

Conditions

  • The position will be located at BSC within the Earth Sciences Department
  • We offer a full-time contract, a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, tickets restaurant, private health insurance, fully support to the relocation procedures
  • Duration: Temporary - 2 years renewable
  • Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
  • Starting date: as soon as possible, ideally before June 2021

Applications Procedure

All applications must include:

  • A Cover Letter with a statement of interest in English, including two contacts for further references - Applications without this document will not be considered

  • A full CV in English including contact details


Deadline

The vacancy will remain open until suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.

Diversity and Equal Opportunity Employment

BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.
This position is reserved for candidates who meet the requirements and have the legal status of disabled persons with a degree of disability equal to or greater than 33%. In case there are no applicants with disabilities that meet the requirements, the rest of the candidates without declared disability will be evaluated.

Application Form

Please, upload your CV document using the following name structure: Name_Surname_CV
Files must be less than 3 MB.
Allowed file types: txt rtf pdf doc docx.
Please, upload your CV document using the following name structure: Name_Surname_CoverLetter
Files must be less than 3 MB.
Allowed file types: txt rtf pdf doc docx zip.
Please, upload your CV document using the following name structure: Name_Surname_OtherDocument
Files must be less than 10 MB.
Allowed file types: txt rtf pdf doc docx rar tar zip.
** Consider that the information provided in relation to gender and nationality will be used solely for statistical purposes.