Oferta compartida por Cristina
Job Details
Postdoctoral Research Associate
Department of Biology (Mansfield Road) & School of Geography and the Environment (South Parks Road).
About the role
Earth Observation (EO) science, data and tools are increasingly critical to supporting policy and societal efforts to reverse the decline in global biodiversity and associated ecosystems. In partnership with other space agencies, ESA is central to this effort through provision of high-quality observation data that form an essential part of the evidence base regarding global change that underpins international, multilateral agreements and treaties including the Convention on Biological Diversity (CBD) and the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES). Nature Finance is emerging as a key theme addressing the vital need to encourage and support the flow of private and public capital to support actions to address biodiversity and ecosystem sustainability, protection and restoration. While initiatives such as the Taskforce on Nature-related Financial Disclosure (TNFD) work towards clear guidance on standards and metrics for use of data related to biodiversity commitments, there is still considerable uncertainty surrounding the suitability of data to address various tasks involving data access, standards, and accuracy, as well as potential untapped opportunities to leverage new and additional EO data. The LEON consortium has formed to work with ESA and address these issues from across the sciences; from across the full breadth of financial services community, EO industry, policymakers, and supply chain actors.
About you
The researcher will work at the centre of the LEON project team, alongside the PI and Co-Is. They will: help bring together the network of collaborating end-users in the finance community to understand EO data and methodology needs; work with technical EO teams to develop metrics, tools and other EO solutions; support efforts to disseminate project findings through LEON project activities; and, co-author scientific publications on the project outputs. The successful candidate will have skills and experience linked both to geospatial analyses/EO data, and to mechanisms relevant to nature finance (e.g. biodiversity credits, footprinting, risk analysis). The candidate will have some experience working with actors outside of academia, ideally in industrial and/or finance sectors.
The researcher will work evenly (exactly 50% FTE in each) across the Nature Positive Hub, and the Global Finance and Economy Group. The Oxford Nature Positive Hub is located in the Department of Biology, bringing together leading researchers from across the University of Oxford, with close collaborators from other organisations. We are united by a common theme: working towards understanding and quantifying the drivers of biodiversity loss, identifying opportunities for impact mitigation and nature gains, and investigating policy mechanisms and actions that might underpin pathways towards Nature Positive outcomes overall. The Global Finance and Economy Group (located in the School of Geography and the Environment) spans natural sciences, economics and finance and aims to increase understanding of the relationships between environmental change, the economy, the financial system, and people, and develop science, analytics, tools, evidence and solutions to secure a resilient, inclusive and sustainable future.
How to apply
Where Covid-19 has resulted in substantial disruption to your work or research outputs, please explain this by providing an additional paragraph in your supporting statement.
The University of Oxford is committed to equality and valuing diversity. All applicants will be judged on merit, according to the selection criteria.
This post is full time and available immediately (official project kick-off is the start of January 2025).
The closing date for applications is 12.00 noon on Friday 6th December 2024, interviews are likely to be scheduled for mid/end December. Applications for this vacancy are to be made online via our e-recruitment system, and you will be required to upload a supporting statement and CV as part of your online application.
Contact Person : HR Team Vacancy ID : 176453
Contact Phone : Closing Date & Time : 06-Dec-2024 12:00
Pay Scale : RESEARCH GRADE 7 Contact Email : recruitment@biology.ox.ac.uk
Salary (£) : Grade 7: £38,674 - £46,913 per annum (including an Oxford University Weighting of £1,500 per year)
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Oferta compartida por Cristina
Intern in the Systems Department
Job Req ID: 17001
Closing Date: 30 November 2022 23:59 CET/CEST
Publication: External Only
Vacancy Type: Intern
Date Posted: 1 November 2022
Internship Opportunity in the Directorate of Technology, Engineering and Quality.
ESA is an equal opportunity employer, committed to achieving diversity within the workforce and creating an inclusive working environment. We therefore welcome applications from all qualified candidates irrespective of gender, sexual orientation, ethnicity, beliefs, age, disability or other characteristics. Applications from women are encouraged.
Location
Noordwijk
Our team and mission
The Systems Department is responsible for System Engineering, Software Engineering, Attitude and Orbit Control, Digital Engineering, Cost Engineering, In Orbit Demonstration projects, Technology Transfer & the Business Incubation Initiative, the Advanced Concepts Team and the management of the General Study Program (GSP).
This internship will take place within ESA's Advanced Concepts Team (ACT). The ACT is a team of scientists who originate from a broad variety of academic fields and are aiming for an academic career. Its task is to monitor, perform and foster research on advanced space systems, innovative concepts and working methods. It interacts externally almost exclusively with academia and operates as a truly interdisciplinary team bound to high scientific standards. Through its research, the team acts as a pathfinder to explore novel, potentially promising areas for ESA and the space sector, ranging from applied to fundamental research topics. An important task of the team is to communicate scientific trends and results, as input to the strategic planning of the Agency.
For further information visit our web site: http://www.esa.int
Field(s) of activity for the internship
You can choose between the following topics:
1) Topic 1: Applying Machine Learning to trajectory design and system cartography in multi-body dynamics
The objective of this internship is two-fold: a) To explore the use of modern machine learning techniques to characterize connections between stable and unstable invariant structures given two multi-body dynamical systems and b) To perform AI-assisted systematic orbit cartography for such systems to facilitate preliminary mission analysis studies.
2) Topic 2: Olfactory system as a blueprint for novel neural architectures for spacecraft autonomy
In this internship, we will greatly extend previous studies by identifying interesting architectural and functional concepts observed in olfactory systems and applying those concepts to a variety of benchmark tasks that are relevant for the space sector, such as image classification and optimal control.
3) Topic 3: Bioinspired strategies for combating the impact of micrometeoroids and orbital debris
A biodiversity-based approach will be utilised to efficiently mine existing and novel biological strategies used by organisms to prevent or minimise the potentially damaging effect of impact forces. You will apply the acquired knowledge to propose biomimetic design solutions for relevant space applications.
Behavioural competencies
Result Orientation
Operational Efficiency
Fostering Cooperation
Relationship Management
Continuous Improvement
Forward Thinking
Education
You must have student status and be enrolled at university for the entire duration of the internship. You should preferably be in your final or second to last year of a university course at master’s level in a technical or scientific discipline.
Additional requirements
The working languages of the Agency are English and French. A good knowledge of one of these is required. Knowledge of another Member State language would be an asset.
1) Topic 1: Aerospace engineering, machine learning.
2) Topic 2: Artificial Intelligence. Neuromorphic sensing.
3) Topic 3: Biology, biomimetics, bioengineering, system biology, Debris, hypervelocity impacts, simulations.
Other information
For behavioural competencies expected from ESA staff in general, please refer to the ESA Competency Framework.
If you require support with your application due to a disability, please email contact.human.resources@esa.int.
Internships can take place remotely, on-site or partially on-site depending on the pandemic situation, and in line with the relevant Establishment’s policy (e.g. possible Green Pass requirement) applicable at the time of starting the internship.
--------------------------------------------------------------------------------------------------------------------------------------------------
Please note that applications are only considered from nationals of one of the following States: Austria, Belgium, the Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Luxembourg, the Netherlands, Norway, Poland, Portugal, Romania, Spain, Sweden, Switzerland, and the United Kingdom. Nationals from Latvia, Lithuania, Slovakia and Slovenia, as Associate Member States, or Canada as a Cooperating State, can apply as well as those from Bulgaria and Cyprus as European Cooperating States (ECS).
Intern in the Systems Department
Job Req ID: 17001
Closing Date: 30 November 2022 23:59 CET/CEST
Publication: External Only
Vacancy Type: Intern
Date Posted: 1 November 2022
Internship Opportunity in the Directorate of Technology, Engineering and Quality.
ESA is an equal opportunity employer, committed to achieving diversity within the workforce and creating an inclusive working environment. We therefore welcome applications from all qualified candidates irrespective of gender, sexual orientation, ethnicity, beliefs, age, disability or other characteristics. Applications from women are encouraged.
Location
Noordwijk
Our team and mission
The Systems Department is responsible for System Engineering, Software Engineering, Attitude and Orbit Control, Digital Engineering, Cost Engineering, In Orbit Demonstration projects, Technology Transfer & the Business Incubation Initiative, the Advanced Concepts Team and the management of the General Study Program (GSP).
This internship will take place within ESA's Advanced Concepts Team (ACT). The ACT is a team of scientists who originate from a broad variety of academic fields and are aiming for an academic career. Its task is to monitor, perform and foster research on advanced space systems, innovative concepts and working methods. It interacts externally almost exclusively with academia and operates as a truly interdisciplinary team bound to high scientific standards. Through its research, the team acts as a pathfinder to explore novel, potentially promising areas for ESA and the space sector, ranging from applied to fundamental research topics. An important task of the team is to communicate scientific trends and results, as input to the strategic planning of the Agency.
For further information visit our web site: http://www.esa.int
Field(s) of activity for the internship
You can choose between the following topics:
1) Topic 1: Applying Machine Learning to trajectory design and system cartography in multi-body dynamics
The objective of this internship is two-fold: a) To explore the use of modern machine learning techniques to characterize connections between stable and unstable invariant structures given two multi-body dynamical systems and b) To perform AI-assisted systematic orbit cartography for such systems to facilitate preliminary mission analysis studies.
2) Topic 2: Olfactory system as a blueprint for novel neural architectures for spacecraft autonomy
In this internship, we will greatly extend previous studies by identifying interesting architectural and functional concepts observed in olfactory systems and applying those concepts to a variety of benchmark tasks that are relevant for the space sector, such as image classification and optimal control.
3) Topic 3: Bioinspired strategies for combating the impact of micrometeoroids and orbital debris
A biodiversity-based approach will be utilised to efficiently mine existing and novel biological strategies used by organisms to prevent or minimise the potentially damaging effect of impact forces. You will apply the acquired knowledge to propose biomimetic design solutions for relevant space applications.
Behavioural competencies
Result Orientation
Operational Efficiency
Fostering Cooperation
Relationship Management
Continuous Improvement
Forward Thinking
Education
You must have student status and be enrolled at university for the entire duration of the internship. You should preferably be in your final or second to last year of a university course at master’s level in a technical or scientific discipline.
Additional requirements
The working languages of the Agency are English and French. A good knowledge of one of these is required. Knowledge of another Member State language would be an asset.
1) Topic 1: Aerospace engineering, machine learning.
2) Topic 2: Artificial Intelligence. Neuromorphic sensing.
3) Topic 3: Biology, biomimetics, bioengineering, system biology, Debris, hypervelocity impacts, simulations.
Other information
For behavioural competencies expected from ESA staff in general, please refer to the ESA Competency Framework.
If you require support with your application due to a disability, please email contact.human.resources@esa.int.
Internships can take place remotely, on-site or partially on-site depending on the pandemic situation, and in line with the relevant Establishment’s policy (e.g. possible Green Pass requirement) applicable at the time of starting the internship.
--------------------------------------------------------------------------------------------------------------------------------------------------
Please note that applications are only considered from nationals of one of the following States: Austria, Belgium, the Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Luxembourg, the Netherlands, Norway, Poland, Portugal, Romania, Spain, Sweden, Switzerland, and the United Kingdom. Nationals from Latvia, Lithuania, Slovakia and Slovenia, as Associate Member States, or Canada as a Cooperating State, can apply as well as those from Bulgaria and Cyprus as European Cooperating States (ECS).
