Phd Position Effective Metadata Management for
4 maanden geleden
PhD Position Effective Metadata Management for Data-Driven Plant Resilience Enhancement-
**_Join us in advancing the frontier of plant sciences and making a tangible impact on agricultural resilience through the power of machine learning_**
Job description
This exciting opportunity will involve analyzing the research gaps for establishing effective metadata management in large data repositories. The most promising identified gaps will be addressed by developing novel innovative workflows and technical solutions.
The goal is to improve the practices of metadata management in plant sciences along the FAIR principles (Findable, Accessible, Interoperable, Reusable) such that complex (AI) models for improving plant resilience can be reliably developed, trained, improved, and deployed.
The models are developed by our partners to predict how plants respond to environmental stresses such as drought, malnutrition, and extreme temperatures. This will allow plants to withstand combinations of stresses brought by a changing climate.
Key Challenges:
- The challenges of collaborative metadata management for plant sciences are not yet well understood. This PhD project requires an inquisitive mind and an enthusiastic communicator eager to explore this new frontier
- While this project is rooted in the data management research field of Computer Science, many expected problems are deeply interwoven with human issues. Thus, technical solutions need to keep both algorithmic challenges and human aspects in mind
- We deal specifically with metadata for plant sciences. This requires some background knowledge in relevant related plant science fields. This knowledge can also be picked up on the job.
- Providing metadata is not prioritized by many practitioners, thus novel innovative solutions are needed. For example, fostering stronger and more effective communities and social workflows around metadata (inspired by comparable communities in software development as found on e.g., GitHub or Stack Overflow), or by developing AI-assisted tools which can guide and support users more effectively.
Your Role:
- You will contribute with your work to the integration of models to simulate how plants respond to environmental stresses. This in turn supports the development of more resilient plants for a more sustainable future.
- You will develop technical solutions, systems, and algorithms processing and handling metadata, but you will also perform quantitative and qualitative research on the requirements and effectiveness of such solutions.
**Benefits**:
- Opportunity to work on cutting-edge interdisciplinary research with significant real-world impact.
- Collaborative and dynamic research environment which is highly interdisciplinary and international.
- Collaborate with researchers, practitioners, and developers within various disciplines.
- Support for professional development and attendance at international conferences.
This PhD position is positioned within the Web Information System Group in the Computer Science department of the Delft University of Technology. The PhD position will be supervised by Dr. Christoph Lofi, and will be done in close collaboration with our partner institutions in the CropXR project.
**Requirements**:
- A Master's degree in Computer Science, Artificial Intelligence (AI), Computational Biology, Bioinformatics, or a related field with an affinity to data management and/or data science.
- Strong background in data management. A background in machine learning, data analysis, or bioinformatics is a plus.
- Experience with biological data integration or computational biology is a plus, but not required. However, enthusiasm for learning about computational biology is expected
- Excellent programming skills and familiarity with databases, data repositories, and data lakes.
- Willingness and experience to perform quantitative user research, as for example user studies or interviews
- Strong analytical and problem-solving skills.
- Ability to work independently, and as part of a multidisciplinary team. You will work within a department for Computer Science, collaborating within the CropXR project with biologists, bio-informaticians, and agriculture specialists.
- Strong interpersonal communication and collaboration abilities
- Excellent communication skills and proficiency in English. Dutch language skills are a plus, but not required.
Conditions of employment
The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.
For international applicants, TU Delft has the Coming to Delft Service. This service provides information for new international employees to help you prepare the relocation and to settle in the Netherlands. The Coming to Delft Service offers a Dual Career Programme for partners and they organise events to expand your (social) network.
TU Delft (Delft University of Technology)
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