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PhD Sharing Data Infrastructures
共享数据基础设施博士生
工作内容及优势
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.
你创造新的数据科学和人工智能解决方案，通过探索共享的、领域内的总体数据集来披露和整合动物或农场相关信息。农场产生的数据的共享和再利用的解决方案允许安全、高效和可控的机制，使所有的利益相关者都能获得收益。你将创建智能的、语义上可互操作的、保护隐私的基础设施和食品安全协议，以实现 "智能和循环农业"。
共享数据基础设施是数据驱动农业的一个重要推动因素。但共享数据说起来容易做起来难。技术、组织、法律、财政和文化等社会问题需要得到解决，并转化为一个可操作的框架。在知识库（KB）项目 "数据驱动与高科技"（KB-38）中，我们有机会吸引一名博士后或博士生在农业食品领域数字化的大背景下研究这一课题。该博士后或博士生研究员将成为KB计划DDHT中 "数据共享基础设施 "团队的一员。该计划旨在探索共享的、领域性的和保护隐私的基础设施，以实现安全、高效和可控的机制来共享或重新使用数据。这样的基础设施将激励在世界大学内部和外部整合这些数据的活动，并支持科学数据驱动的研究，其中数据所有权和隐私以及数据共享的激励措施将得到保证。
你需要把技术和组织方面结合起来。例如，将语义互操作性、密码学和多方计算与社会和法律方面结合起来，如行为改变、数据许可、签约和货币化、结合数据源的透明度和隐私。正是通过技术机会和组织解决方案的结合，我们期望数据共享能够得到推进。
这就是你的乐趣所在：
你探索并结合数据集，找到分析结果，以支持农场的决策。
你在数据驱动和高科技创新中茁壮成长。
你喜欢用他们自己的语言告诉人们你的新见解。
你对发表论文充满热情。
你喜欢研究结合社会和经济方面的技术难题。
你在数据驱动和高科技农业领域应用你的研究技能。
你有时间进行个人发展。
对申请者的要求
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.
- 拥有计算机科学、社会科学或自然科学领域的博士学位（针对博士后研究人员）或硕士学位（针对博士生研究人员），与信息系统、数据科学或相关领域有密切关系。
- 有能力和雄心进行世界级的研究并在顶级科学期刊上发表文章。
- 强大的编程能力（Java和Python，或愿意学习其中一种）。
- 强大的沟通能力，将技术与农业、开发人员与最终用户联系起来。
- 非常好的英语写作能力。
- 愿意在国际团队中工作，也愿意共同监督初级团队成员或学生。
- 有很强的组织能力，能将研究结果嵌入并连接各方。
- 此外，我们希望你有以下条件
- 有开发本体论的经验。
- 对语义技术、知识图谱、（语义）网络服务、（研究）数据基础设施、FAIR（可查找、可操作、可重用）数据、数据价值链、可解释人工智能、基于规则的系统、传感器数据处理、建模和可视化、数据匿名化和隐私等领域的研究兴趣和经验，以及涉及生命科学、健康、可持续性、伦理学、法律、经济、社会和行为科学等跨学科工作。
- 对将技术与组织解决方案相结合以在社会中实施技术的研究兴趣；以及
- 与农业食品领域有亲和力。
- 好奇心、批判性的研究态度和跨学科的思维方式。
We offer
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.
瓦赫宁根大学和研究机构提供良好的就业条件。我们的集体劳动协议中的几个亮点包括。
学习假和部分带薪育儿假。
可以讨论和安排的工作时间，以便使工作和生活达到最佳平衡。
可以选择通过增加工作时间来累积额外的补偿/假期时间，每周最多40小时。
非常注重活力，你可以使用校园内的体育设施，但需要支付少量费用。
12月的固定奖金为8.3%。
优秀的养老金计划。
除了上述的亮点，我们还提供。
全职工作（每周38小时），为期3或4年。
足够的工资来支付房租，并负担得起在瓦赫宁根做博士/博士后的美好时光。
在一所顶级大学和世界上农业领域排名最好的大学进行学术培训。
良好的学术工作氛围和鼓舞人心的大学校园，这里还有呼吸新鲜空气的空间。
渴望在实际情况下实施你的工作的利益相关者。
根据荷兰大学集体劳动协议（CAO-NU），第一年的工资总额为每月2.541欧元，第四年上升到3.247欧元（P级）。这是按每周38小时的全职工作计算的。我们提供一份为期18个月的临时合同，如果你表现良好，该合同将在项目期间延长。
在学习环境中，有很多个人主动性的选择，我们提供很好的培训机会。我们提供一个独特的职位，在一个国际化的环境中，有着愉快和开放的工作氛围。
你将在荷兰最绿色和最具创新性的校园工作，并在一个连续17次被选为荷兰 "最佳大学 "的大学工作。
项目背景
You will be working at the Wageningen University in the Farm Technology Group, one of the world’s leading research groups on precision livestock farming and applications of computer vision in agriculture in general. The work is to be part of the KB-38 project 4. This program is led by the Wageningen Data Competence Center (WDCC ). More information about this program can be found here.
You will be supervised by Anna Fensel (WU, Associate Professor in Artificial Intelligence and Data Science), who will be your promotor and guide you in scientific training, Rik van der Tol with specific domain knowledge of the application, and team members both from KB-38 (project 4; Rob Lokers and Claudia Kamphuis), and from WDCC (Willem Jan Knibbe and Jene van der Heide). This will be recorded in the Training and Supervision Plan at the start of the position. It is your job to merge their views and experiences into an excellent PhD thesis in such a way that the total outcomes are beyond the sum of the parts.
你将在瓦赫宁根大学的农场技术小组工作，该小组是世界领先的精准畜牧业和计算机视觉在农业中的应用研究小组之一。该工作将成为KB-38项目4的一部分。该项目由瓦赫宁根数据能力中心（WDCC）领导。
你将接受Anna Fensel（WU，人工智能和数据科学副教授）的指导，她将是你的促进者并指导你的科学培训，Rik van der Tol有具体的应用领域知识，还有来自KB-38（项目4；Rob Lokers和Claudia Kamphuis）和WDCC（Willem Jan Knibbe和Jene van der Heide）的团队成员。这将被记录在职位开始时的培训和监督计划中。你的工作是将他们的观点和经验融合到一篇优秀的博士论文中，使总成果超越各部分的总和。
申请链接、截止日期及材料要求
For more information you can contact anna.fensel@wur.nlor Rik.vanderTol@wur.nl.
For this position you can only apply on line: http://www.wageningenur.nl/career. Please, don't email directly to the people mentioned above.
The deadline is Monday the 22th of August 2022!
欲了解更多信息，你可以联系anna.fensel@wur.nlor Rik.vanderTol@wur.nl。
对于这个职位，你只能在网上申请：http://www.wageningenur.nl/career。请不要直接向上述人员发送电子邮件。
截止日期是2022年8月22日星期一!
项目详情
PhD Sharing Data Infrastructures
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