Research data and visualization Internships

Farkas Kiss Endre legjobb állása International Institute for Applied Systems Analysis (IIASA)

Bewerbung fur Head of Information and Communication Technologies (ICT)

Levél szövege

Lieber International Institute for Applied Systems Analysis (IIASA)!

Ich möchte mich bei Ihrem Unternehmen als Research data and visualization Internships bewerben. 
Ich bin ein Fullstack-Entwickler, bei dem ich meine 10-jährige Erfahrung mit verschiedenen Technologien einsetzen kann.

Ich habe meinen Lebenslauf an diese E-Mail angehängt.

Wir freuen uns darauf, von Ihnen zu hören!


Endre Farkas Kiss "Sodika"
Java and PHP Fullstack Developer, Nudist, Vlogger

https://www.linkedin.com/in/farkas-kiss-63bb9210a
https://sodika.org

Álláshirdetés szövege

Deadline: 15 March 2023

15-2023
15-2023

Research data and visualization Internships
The IIASA Energy, Climate, and Environment (ECE) Program is offering up to two research internships for three to six-months each.

The successful candidate(s) will support the development of web data dashboards for the communication and visualization of climate mitigation and impacts data. Our Hotspots Explorer (www.hotspots-explorer.org) is currently under major redevelopment and will present latest climate mitigation and impacts scenario data.
Background
The IIASA ECE Program is one of the leading scientific research institutions in the domain of integrated assessment of climate change and the systems transition to implement the Sustainable Development Goals (SDGs). In addition to its own high-impact research, ECE provides a range of services to the broader research community related to hosting, accessibility and visualization of climate scenario data.

As part of its mission, ECE develops web-based, interactive data dashboards and databases (e.g., Scenario Explorer, Hotspots Explorer, Feasibility Evaluation). These dashboards and databases form an integral part of the infrastructure for research conducted at ECE and in the wider integrated-assessment research community and they are also a key tool for dissemination of scientific insights and results to the broader public.

Another prominent example of our work is the AR6 Scenario Explorer[1], which hosts the quantitative scenario data underpinning the IPCC’s latest the Sixth Assessment Report report “Mitigation of Climate Change 2022.

An interest in the scientific content of the software tools – climate change and energy transition research – will help communication within the multi-disciplinary teams and develop a deeper understanding of the user needs.

[1] https://data.ece.iiasa.ac.at/ar6
The position
The successful candidate(s) will closely collaborate with researchers and research software engineers in the IIASA ECE Program and their international partners in addressing the following tasks:

Develop and implement new data dashboards on mitigation pathways in Python.
Support development of spatial and non-spatial dashboards in Python/JavaScript/HTML.
Documentation of the software stack and all modules to high professional standards.

Applicants are encouraged to include with their applications evidence of programming, software development and data science skills; and/or of collaboration on multi-developer software projects; for instance, links to a GitHub profile and/or specific projects or pull requests; or references/testimony from collaborators.
qualifications
Preferably, the successful candidate will be enrolled in a degree program towards a MSc (or equivalent, e.g., DIFH) in a field related to energy economics, environmental science, or computer science and software development, and have a strong interest and experience in data science and visualization, programming, and software development.
Willingness and ability to work in an international multi-disciplinary team and be flexible and adaptable in responding to deadlines.
Good written and verbal communication skills in English are essential.

Additional necessary skills:

Python – moderate experience with main packages, e.g., pandas, NumPy, Plotly.
General experience with data wrangling and data visualization.

Desirable experience:

Python: experience in Streamlit, Leafmap, or other spatial data packages.
Web-development: JavaScript; vue.js; leaflet.js; HTML.
Spatial data: familiarity working with gridded and vector datasets (ideally in Python); and/or online visualization of spatial data.
Source control: concepts and Git(hub).
appointment terms:
The selected candidate(s) should be available to take up the internship(s) as soon as possible in 2023. The duration of the appointments can be between three and six months each (full or part-time working arrangements are negotiable). These internships will be carried out at the IIASA premises in Laxenburg, Austria.

Please note: Interns at IIASA do not qualify for moving and settlement, or other allowances.

WE OFFER:

A monthly salary based on an annual gross salary of EUR 16,300.00, which is exempt from income tax in Austria.

The advertised salary is:

Non-negotiable
Subject to deductions for health insurance and/or social security.
About IIASA
IIASA is committed to a working environment that promotes equality, diversity, tolerance and inclusion within its workforce. This is reflected in our IIASA core values. We encourage qualified candidates from all religious, ethnic, and social backgrounds to apply. In the case that candidates are equally qualified, preference will be given to applicants from countries where IIASA has a Member Organization.
Further Information
For further information about this opportunity/these opportunities, please contact:

Dr. Elina Brutschin or Dr. Ed Byers

For general information about working at IIASA, please contact:

recruitment@iiasa.ac.at
Applications
To apply for this opportunity, you will need to provide the following documents in English:

A brief cover letter outlining your motivation for and fit to the position.
Your Curriculum Vitae or Resume.
The names and contact details of two reference givers.
Applicants are encouraged to include with their applications evidence of programming, software development and data science skills; and/or of collaboration on multi-developer software projects; for instance, links to a GitHub profile and/or specific projects or pull requests; or references/testimony from collaborators.

Deadline for receipt of applications: 15 March 2023