PhD Candidate Bias Detection and Mitigation for Deep Learning in Vision-Bas
at Universiteit Twente
7522 Enschede, Overijssel, Netherlands -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 23 Jan, 2025 | ANG 2 Annual | 30 Oct, 2024 | N/A | Good communication skills | No | No |
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Description:
KEY TAKEAWAYS
Hours
40 hr.
Salary indication
Salary gross/monthly
based on full-time
€ 2,872 - € 3,670
Deadline
15 Nov 2024
In an era of rapid advancements in Artificial Intelligence (AI) applied to various geo-applications, the requirement of responsible GeoAI has become more and more critical to cope with issues, such as bias, uncertainty, and lack of explainability.
This project will provide you with the opportunity to investigate functional responsibility, particularly investigating biases, e.g., imbalance in data and spurious correlations, in the processes of deep learning vision-based GeoAI applications, such as classification, semantic segmentation, and structure prediction using aerial imagery.
You will be at the forefront of exploring and developing brand-new approaches to addressing bias in deep learning-powered models and contributing to the emerging research area in Earth Observation. Your research includes, e.g., detecting representation bias in (benchmark) datasets, supervising algorithmic bias in modelling, evaluating the impact of bias on prediction results, and ultimately mitigating bias in different learning stages.
You will present (both preliminary and mature) results at appropriate meetings and conferences, publish results in scientific workshops, conference proceedings, and journals, contribute to teaching on topics related to your work, and supervise and mentor involved MSc students as needed.
We invite applications for this PhD position at the Earth Observation Science (EOS) Department at the ITC Faculty of Geo-information Science and Earth Observation. We are looking forward to a highly motivated and talented candidate to work on this PhD project at the intersection of Computer Vision and Earth Observation Science.
Responsibilities:
Please refer the Job description for details
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Education Management
Teaching / Education
Teaching, Education
Graduate
Proficient
1
7522 Enschede, Netherlands