卢森堡大学PhD position in Environmental Data Visualization申请条件要求-申请方
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卢森堡大学
PhD直招介绍
About us
The University of Luxembourg( https://www.uni.lu/en/ ) is an international research university with a distinctly multilingual and interdisciplinary character.
The Luxembourg Centre for Socio-Environmental Systems( https://www.uni.lu/lcses-en/ ) strives to grow into an internationally recognised research hub for a sustainable and equitable world. Our goal is to help societies to transition to environmentally friendly and just conditions. At the core is the recognition that global environmental disruptions such as climate change, biodiversity loss, and resource depletion are closely linked with societal systems. To address these complex issues, we take a systemic approach and study the interconnectedness of human activities and the environment. Our mission is to develop sustainable, socially just, and environmentally friendly solutions by bridging disciplines and fostering collaboration between researchers, policymakers, and society.
Your role
Develop innovative methods for visualising complex environmental and socio-spatial data
Analyse interdependencies, trade-offs, and synergies between SDG-related indicators
Contribute to the design and development of the Living Atlas platform such as data integration, dashboards, visual interfaces
Explore new forms of communicating uncertainty, risk, and complexity in sustainability research
Collaborate with an interdisciplinary team and engage with stakeholders from policy and practice
The Living Atlas Luxembourg (LAL) is a research initiative that develops a dynamic, SDG-referenced platform to map and analyse interactions between land, climate, water, energy, and society. The project focuses on identifying tensions, synergies, and trade-offs between Sustainable Development Goals (SDGs) and aims to support evidence-based sustainability transitions and institutional decision-making.
You will have the opportunity to shape your own PhD topic within the framework of the project, for example:
Visualising SDG trade-offs and synergies across spatial scales
Interactive mapping of land-use, climate, and socio-economic dynamics
Data storytelling and decision-support tools for sustainability transitions
Integration and use of appropriate data analytic tools for visualisation of environmental data
General information:
Contract Type: Fixed Term Contract 36 Month
Work Hours: Full Time 40.0 Hours per Week
Location: Belval Campus
Internal Title: Doctoral Researcher
Job Reference: UOL08123
The yearly gross salary for every Doctoral researcher at the UL is EUR 41976 (full time).
卢森堡大学 PhD position in Environmental Data Visualization项目有没有奖学金，是不是全奖Phd招生，下面我们一起看一下【大学名称】Phd的奖学金资助情况
项目资助情况
We offer
A modern, dynamic university with a personal and inclusive atmosphere. Multilingual and international character. Staff coming from more than 90 countries. Member of The Guild of European Research Intensive Universities
An exceptional research environment, supported by skilled staff and high-quality equipment. Strong links to professional sectors and the Luxembourg labour market. A unique urban campus with excellent infrastructure
A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and a wide range of non-academic partners including ministries, local governments, associations, and NGOs
卢森堡大学Phd申请条件和要求都有哪些？PhD position in Environmental Data Visualization项目是不是全奖？有没有奖学金？下面我们一起看一下卢森堡大学申请Phd直招需要具备哪些条件和要求，以及托福、雅思语言成绩要到多少才能申请。
申请要求
Your profile
A master's degree in data science, geography, environmental sciences, urban planning, computer science, design, or a related field
Strong interest in sustainability, environmental systems, and spatial data
Skills in the following areas:
Data analysis and programming, e.g. Python, R
GIS and spatial analysis
Data visualisation
Language Requirements:
Applicants must demonstrate at least B2-level proficiency in the language of their thesis. For details and accepted certificates, please visit the Application for admission - Doctoral Candidates( https://www.uni.lu/en/admissions/doctoral-candidates/ ).
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