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  2. Assistant Professor Artificial intelligence for early warning in data sparse environments

Assistant Professor Artificial intelligence for early warning in data sparse environments

The University of Twente, Faculty ITC wishes to increase the number of women in the faculty in order to have a more balanced staff profile. During all phases of the selection process, we will therefore prioritize selecting women who fit the profile.

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Key takeaways

  • Hours
    40 hr.
  • Salary indication
    Salary gross/monthly
    based on full-time
    € 4,332 - € 4,786
  • Deadline
    30 Sep 2023

You will develop a research direction and educational profile within the ambitions of the ITC Faculty Geo-Information Science and Earth Observation, University of Twente, and the Netherlands sector of Earth and Environmental Sciences. You will contribute to our MSc programmes, co-supervise graduate students and work with our E-Learning Specialists to develop online educational materials.

You will take responsibility for coordination and management tasks and take an active approach towards strengthening our national network, particularly in the broader Earth and Environmental Sciences domain in the Netherlands.

Building operational early warning systems that accurately and timely inform governments, organizations, and communities about potential natural hazard (hydro-meteorological, geomorphological, etc.) threats is a challenge. This challenge exists in data-rich contexts, where scientists can rely on large networks of in-situ measurements or remotely sensed information that provides data in near-real time. In the majority world, often availability and access to near-real-time data are lacking, particularly for in-situ observations, making the challenge even bigger. In such cases, the use of intelligent systems is fundamental to reduce spatiotemporal biases due to poor data availability, as well as to integrate new data sources from remote sensing with the limited in-situ observations one may get access to. For large regions, these problems become highly dimensional. This calls for interdisciplinary approaches, particularly for physics- and data-driven architectures that are flexible enough to be adapted to space-time predictive modelling, image processing, time series analyses, classification and regression tasks tailored toward utmosts. These techniques are part of modern machine/deep learning toolsets, which you will use, develop, and adapt to address priorities in line with Sustainable Development Goals and specifically to SDG 11.5: Reduce the Adverse Effects of Natural Disasters.

Your profile

  • A PhD degree in computer science, software engineering, data science or statistics with an interest in natural hazards or a PhD degree in geosciences with an interest in artificial intelligence. If not finished yet, your PhD should be close to completion
  • Interest in translating your research into practical applications and collaborating with partners
  • Embrace Open Science and FAIR data principles
  • Passion for education, supervising graduate students and emerging researchers, and the ability to develop high-quality educational materials
  • Interest in contributing to the capacity development mission of ITC and willingness to undertake international travel to low and middle-income countries
  • Thrive in a multi-cultural academic environment, and like working in a range of international and interdisciplinary contexts
  • Excellent command of English. Knowledge of, and/or willingness to learn Dutch is an advantage.
  • A team-work mentality; you enjoy collaborating to develop high-quality research outputs

Our offer

  • An inspiring multidisciplinary, international and academic environment. The university offers a dynamic ecosystem with enthusiastic colleagues in which internationalization is an important part of the strategic agenda
  • Position for initially one year (full-time), after which your position can become permanent, subject to a successful evaluation
  • Gross monthly salary between € 4,332.- and € 4,786.- (depending on experience and qualifications, job profile Assistant Professor, level 2). This is the maximum start salary with growth opportunities
  • A holiday allowance of 8% of the gross annual salary and a year-end bonus of 8.3%
  • Excellent support for professional and personal development
  • A solid pension scheme
  • A total of 41 holiday days in case of full-time employment
  • Costs for moving to Enschede may be reimbursed

Information and application

For more information, you can contact Dr Luigi Lombardo (e-mail: l.lombardo@utwente.nl) or Dr Mariana Belgiu (m.belgiu@utwente.nl). You are also invited to visit our homepage.

Please submit your application before 30 September 2023. Your application has to include (i) a letter outlining your motivation and fit for the position, and (ii) a CV with two references.

Job interviews will be held in week 47 (20 – 24 November 2023).

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About the department

The department of Applied Earth Sciences (AES) combines Earth science knowledge with geospatial modelling and advanced earth observation, to increase our understanding of Earth systems and their interaction with society in space and time. We combine insights on hazards with information on exposure and vulnerability, to model and monitor risk to human societies, and inform actions to reduce risk and increase resilience in long-term planning, for early warning and disaster response, and in the context of post-disaster recovery and reconstruction.

About the organisation

The Faculty of Geo-Information Science and Earth Observation (ITC) provides international postgraduate education, research and project services in the field of geo-information science and earth observation. Our mission is capacity development, where we apply, share and facilitate the effective use of geo-information and earth observation knowledge and tools for tackling global wicked problems. Our purpose is to enable our many partners around the world to track and trace the impact – and the shifting causes and frontiers – of today’s global challenges. Our vision is of a world in which researchers, educators, and students collaborate across disciplinary and geographic divides with governmental and non-governmental organisations, institutes, businesses, and local populations to surmount today’s complex global challenges and to contribute to sustainable, fair, and digital societies.

Want to know more?

Lombardo, L. (Luigi)
Assistant Professor

Do you have questions about this vacancy? Then you can contact Luigi for all substantive questions about this position and the application procedure. For general questions about working for the UT, please refer to the chatbot.

How to apply

Step 1

When you see a vacancy that appeals to you, you can apply online. We ask you to upload a CV and motivation letter and/or list of publications. You will receive a confirmation of receipt by e-mail.

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Step 2

The selection committee will review your application and you will receive a response within 2 weeks after the vacancy has been closed.

Step 3

1st interview.
The 1st (online or in person) meeting serves as an introduction where we introduce ourselves to you and you to us. You may be asked to give a short presentation. This will be further explained in the invitation.

Step 4

2nd interview.
In the second interview, we will further discuss the job content, your skills and your talents.

Step 5

The offer.
If the conversations are positive, you will be made a suitable offer.

Your Colleagues

About the faculty ITC 

Curious about were the Faculty of Geo-Information Science and Earth Observation (ITC) stands for? Check out the ITC website for more information.

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