Work at THUAS
Are you a researcher with a strong background in image analysis? Are you well-versed in the latest developments in AI and capable of applying these to extract information from image data?
To expand our expertise and research capacity in image analysis with AI, we are looking for a researcher in 'Image Analysis with AI.'
Overview:
- Department: Centre of Expertise Digital Operations & Finance
- Location: Delft
- Education Level: Bachelor/Master
- Hours per Week: 24 hours (0.6 FTE)
- Salary Range: Scale 11
- Start Date: Negotiable in August or September 2024
- Duration: 1 year
The Centre of Expertise Digital Operations & Finance at The Hague University of Applied Sciences focuses on three interrelated research themes: Future of Work, Responsible Business, and Data Driven Sustainability. As a researcher, you will work within the Data Driven Sustainability theme, analyzing various types of image data. This includes e.g. RGB images, possibly supplemented with additional depth information, or (hyper-) spectral images. You will identify the most suitable analysis methods and apply them.
Specifically, you will analyze spectral images for early detection of plant diseases and conduct pattern/object recognition in images for biodiversity measurements, crop and soil scans, navigation techniques, and other applications. You will identify the most suitable data analysis methods and adjust them as necessary to extract the desired information from the data. You will also consider the requirements for training data for the AI algorithms being used. Interest in and thinking along about other applications of image analysis, e.g. in combination with computer-vision for robots and other ways of object identification is a plus. You combine your substantive background with a social, enthusiastic attitude and can easily communicate with people from different backgrounds to meet their needs and requirements regarding image analysis for their specific application areas.
Data Driven Sustainability
Within Data Driven Sustainability, various research groups at the center of expertise conduct research on collecting, analyzing, and reporting data. On the one hand our expertise lies in developing, building, and applying sensors to measure the physical environment and analyzing this data using methods such as machine learning and object and pattern recognition. On the other hand we translate data into useful information for businesses, governments, and regulators. For example, business processes can be controlled in real-time based on sensor data, or data can be used for integrated reports and long-term value investment analyses.
Imaging instruments, such as (spectral) cameras, are frequently used as sensors. We use cameras to detect plant diseases in greenhouses, measure biodiversity in road verges, or identify materials in waste streams. They are also used in the (navigation of) autonomous vehicles, robots, cobots, and drones. Object and pattern recognition based on AI, particularly machine learning, play an increasingly important role here.
The information obtained from image analysis can be used to make business processes more sustainable, e.g. by timely intervention with biological pest control after detecting a plant disease or sorting materials for reuse. This aligns with the goal of the projects carried out at our Knowledge Center: enabling users to take action based on the collected data to prevent harmful impact or achieve positive (long-term) impact, thereby helping to make businesses more sustainable.
What do we expect from you?
Apply as Researcher in Image Analysis with AI
- We look forward to your application. Apply before Wednesday July 10 2024.
- Applications can only be submitted via the application button below.
- Want to know more about the vacancy? Send an email to Margot Custers, Program Manager Knowledge Center Digital Operations & Finance, at m.custers@hhs.nl.
- General information? Contact Rachel van Veghel, Resourcing Advisor, at 070-445 8612 or via email at vacatures@hhs.nl.
Applications via the above email addresses will not be processed.
Acquisition in response to this vacancy is not appreciated.
This is what you can expect from us
What we expect from you
You have a strong background in image analysis and are well-versed in the latest developments in AI. You are capable of applying these to extract information from image data. Furthermore, you can switch between different application areas of image analysis and can distinguish which analysis methods can be used generically and which are more specialized (application-specific).
What else you bring:
- University-level work and thinking.
- Strong affinity with science/applied research/technology.
- Good communication skills in Dutch and/or English, both oral and written.
Working at THUAS
What we offer you:
- A one-year employment contract (D4) for 24 hours per week (0.6 FTE).
- A salary of at least €4,234.28 and up to €5,936.77 (scale 11) per month for a full-time workweek.
- 8% holiday allowance.
- An end-of-year bonus of 8.3%.
- A very generous leave arrangement of about 53 days for a full-time appointment, including mandatory days off and public holidays.
- A green travel expense scheme: if you choose public transport, you will receive a personal NS-business card (2nd class) for commuting fully reimbursed by The Hague University of Applied Sciences.
But that’s not all! Read all our attractive working conditions here.
Apply for a job at THUAS
If you work at THUAS, you work at one of the most dynamic and open organisation in the City of Peace and Justice. Together with 2,500 colleagues, you help 26,000 students from over 120 countries to prepare for a promising future in a world that changes every day. We do this by growing and evolving along with the world and the wishes of our students. We work together intensively with colleagues, with students and in the professional field. Furthermore, we look ahead, we are critical, and we stand in the middle of society.
Diversity, inclusiveness and equality are at the heart of everything we do. We strive for the composition of the student and staff population to reflect the society in which we work, and we want to offer everyone equal opportunities. We realise that this requires constant attention. We invest in this ourselves, and we would like you to help us with this.
> Read more about our story and our core values here: Our story
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