The position is a doctoral position in geospatial information science with a technical and computer science focus.

The doctoral education includes the student writing a scientific synthesis thesis corresponding to 180 credits and completing courses of at least 60 credits. The person who receives the education position may also be allowed to work with teaching and administrative work comprising a maximum of 20% of full-time. Such service extends the employment period to the corresponding extent. The person accepted for an education position is expected to perform the majority of their work on campus and regularly participate in the academy's activities such as seminars and meetings.

Project description

The project in geographic artificial intelligence (GeoAI) focuses on AI methods for recognition, classification and analysis of geographic data such as aerial or satellite images, radar images, laser measurements or other data with spatial significance. Generative GeoAI creates new data for analysis and decision-making (e.g. maps, route plans, building plans, etc.) or as new training data for AI. Areas of application include critical sectors such as sustainable transport, agriculture and forestry, climate and environmental studies, and energy and urban planning. The research in the project studies how different factors affect GeoAI methods and the reliability of their results, to create a better understanding of the methods' possibilities and limitations. The successful candidate will contribute through design and case studies where AI-based methods are developed, adapted and evaluated in selected use cases.

Qualifications

To be admitted to doctoral studies (Chapter 7, Sections 39-40 of the Higher Education Ordinance), the applicant must have the following basic qualifications:

• completed an advanced level degree
• have completed course requirements of at least 240 higher education credits, of which at least 60 higher education credits are at advanced level, or have acquired essentially equivalent knowledge in some other way within or outside the country.

To be admitted to doctoral studies in the subject of geospatial information science at the University of Gävle, the following is required according to the current general curriculum:

• at least 90 higher education credits in a field relevant to geospatial information science at undergraduate or advanced level, or equivalent, of which at least 15 higher education credits must consist of thesis work, or equivalent knowledge acquired in another way within or outside the country.

The eligibility must be met by the application deadline.

We are looking for candidates with:

• good ability to express oneself in English, both orally and in writing;
• relevant expertise in one or more subjects: artificial intelligence, machine learning, software development, geographic information systems, remote sensing and image analysis;
• personal qualities, such as high levels of independence, creativity and motivation, and structured approach to problem solving;
• excellent academic record;

Desirable/meritorious in other respects

Previous research experience in a related field is an advantage. Knowledge of Swedish or another Scandinavian language is also valued.

Information about admission and employment

Only those who have been accepted to a doctoral program may be employed as a doctoral student. The total period of employment may not exceed four years of full-time doctoral education. An employed doctoral student may, to a limited extent (maximum 20%) perform certain tasks within, for example, education and administration. A new employment as a doctoral student is valid for a maximum of one year, and the employment may thereafter be renewed for a maximum of two years at a time.

Application

Welcome to your application. As the applicant, you are primarily responsible for ensuring that your application is complete when it is submitted.

The application must have the following content:

• CV with relevant professional experience and knowledge, including a list of references.
• Application letter with a brief statement of why you want to pursue doctoral studies, a justification of what you can do

contribute to this particular doctoral project, about your academic interests and how they relate to your previous studies and future goals. (Max 2 pages).

• Copies of diplomas and grades from previous university studies. Certificate of language requirements (see above).

Translations into English or Swedish are needed if the original document is not issued in either of these languages.

• Representative publications or technical reports and other documents that can support the application. For longer documents, attach an abstract and a web link to the full text.

Contact

Jonas Boustedt
Head of Department
+46-26-64 87 72
+46-70-191 45 25
Email: jonas.boustedt@hig.se

Stefan Seipel
Professor, subject representative geospatial information science/Professor
+46-26-64 85 63
+46-76-028 28 00
E-mail: stefan.seipel@hig.se  

Job Information

Organisation/Company: Université d'Angers
Department: TEMOS
Research Field: Anthropology & History
Researcher Profile: First Stage Researcher (R1)
Positions: PHD Position
Country: France
Application Deadline: 15 Sep 2024 - 18:00 (Europe/Paris)

Type of Contract: Permanent
Job Status: Full-time
Hours Per Week: 35
Offer Starting Date: 1 Nov 2024

Apply here: https://euraxess.ec.europa.eu/jobs/253599