瓦格宁根大学

Sharing Data Infrastructures

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项目介绍

Function

You create new data science and artificial intelligence solutions for disclosing and integrating animal or farm related information by exploring shared, domain overarching datasets. The solutions for sharing and re-use of farm-generated- data allow for safe, efficient, and controlled mechanisms to enable a mutual gain for all stakeholders. You will be creating smart, semantically interoperable, privacy conserving infrastructures and food safety protocols that lead towards a ‘smart and circular agriculture’.

Shared data infrastructures are an important enabler of data driven agriculture. But sharing data is easier said than done. Technical, organizational, legal, financial and cultural social issues need to be addressed and translated into an actionable framework. Within the Knowledge Base (KB) program Data Driven & High Tech (KB-38) we have the opportunity to attract a postdoctoral or a PhD student researcher on this subject within the broader context of digitalization of the agri-food domain. The postdoctoral or PhD student researcher will be part of the team that works on ‘data sharing infrastructures’ within the KB program DDHT. This program aims at exploring shared, domain overarching, and privacy-conserving infrastructures that enable safe, efficient, and controlled mechanisms to share or re-use the data. Such infrastructures will stimulate activities to integrate these data within and outside WUR, and support scientific data-driven research, where data ownership and privacy as well as incentives for data sharing will be ensured.

You need to combine technical and organizational aspects. For instance, combining semantic interoperability, cryptography and multi-party computing with social and legal aspects such as behavioural change, data licensing, contracting and monetisation, transparency and privacy in combining data sources. It is through the combination of technical opportunities and organizational solutions that we expect data sharing to advance.

This is what you enjoy:

  • You explore and combine datasets to find analyses to support on farm decisions making.
  • You thrive on data-driven and high-tech innovations.
  • You like to tell people about your new insights in their own language.
  • You are passioned about publishing papers.
  • You like to work on technical dilemmas combining societal and economical aspects.
  • You apply your research skills in the domain of data driven and high tech agriculture.
  • You have time for personal development. 

These agenda items makes you excited (or, a “typical week at the office”):

  • Monday:
    • Discussion group “semantic interoperability”
    • Read article on artificial intelligence in biosystems engineering
    • Meeting on PhD progress
    • Discuss “high frequency data analysis”
  • Tuesday
    • Cake and coffee meeting to celebrate article was accepted for publication
    • Writing a research paper or a project proposal
    • Prepare presentation of next experiment for upcoming meeting with industrial stakeholders
  • Wednesday
    • Stakeholder meeting at a farm
  • Thursday
    • Development of ontologies and adding value data usage scenarios, legal and privacy frameworks
    • Implementation of data sharing enablers
  • Friday
    • Working with project team members and data user communities at WUR
    • Supervising students

Function Requirements

This is where you recognize yourself

  • a PhD degree (for a postdoctoral researcher) or a Master degree (for a PhD student researcher) in computer science, social science or natural science with affinity to information systems, data science or a related field;
  • capacity and ambition to conduct world-class research and publish in top scientific journals;
  • strong programming skills (in Java and Python, or willing to learn one of these);
  • strong communication skills, connecting technology to agriculture and developers to end users;
  • very good English language writing skills;
  • willingness to work in international teams, also to co-supervise more junior team members or students;
  • strong organizational skills to embed findings and connect parties.

Furthermore we would like you to have:

  • experience in development of ontologies;
  • research interest and experience in areas such as Semantic Technology, Knowledge Graphs, (Semantic) Web Services, (Research) Data Infrastructures, FAIR (Findable Accessible Interoperable Reusable) Data, Data Value Chain, Explainable Artificial Intelligence, Rule-based Systems, Sensor Data Processing, Modelling and Visualisation, Data Anonymisation and Privacy, as well as in interdisciplinary work involving, for example, life sciences, health, sustainability, ethics, legal, economic, social and behavioural sciences;
  • research interest in combining technology with organizational solutions to implement technology in society and
  • affinity with agri-food domain;
  • curiosity, a critical research attitude, and an interdisciplinary mindset.

Working conditions

Wageningen University & Research offers excellent terms of employment. A few highlights from our  Collective Labour Agreement include:

  • study leave and partially paid parental leave;
  • working hours that can be discussed and arranged so that they allow for the best possible work-life balance;
  • the option to accrue additional compensation / holiday hours by working more, up to 40 hours per week;
  • there is a strong focus on vitality and you can make use of the sports facilities available on campus for a small fee;
  • a fixed December bonus of 8.3%;
  • excellent pension scheme.

Beside the mentioned highlights we offer:

  • A full-time position (38 hours per week) for 3 or 4 years.
  • Enough salary to pay the rent and to afford having a good time as a PhD/postdoc in Wageningen.
  • Academic training at a top university and the world’s best-ranked University in agriculture.
  • Good academic working atmosphere and an inspiring university campus where there is still space to breath fresh air.
  • Stakeholders that are eager to implement your work in practical situations.

The gross salary for the first year is € 2.541,- per month rising to € 3.247,- in the fourth year in according to the Collective Labour Agreements for Dutch Universities (CAO-NU) (scale P). This is based on a full-time working week of 38 hours. We offer a temporary contract for 18 months which will be extended for the duration of the project if you perform well.

There are plenty of options for personal initiative in a learning environment, and we provide excellent training opportunities. We are offering a unique position in an international environment with a pleasant and open working atmosphere.

You are going to work at the greenest and most innovative campus in Holland, and at a university that has been chosen as the “ Best University ” in the Netherlands for the 17th consecutive time.

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截止日期 2022-08-22
瓦格宁根大学

院校简介

瓦格宁根大学是一所以农学著称的世界顶尖研究型高等学府。
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联系方式

邮箱: study@wur.nl 电话: +31 317 480 100

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