Doctoral student in Water Resources Engineering with a focus on GeoAI and Remote Sensing in Hydrology
- Lund, Skåne
- Tillfälligt
- Heltid
- You will work on multiple projects developing AI-based technologies for water resources management.
- You will travel abroad to attend general assemblies of a European project and also attend conferences.
- You will work in a team working on a DSS which requires code and data sharing and good team work.
- The duties may also include participation in teaching and other departmental work (however, a maximum of 20% of working hours).
- has been awarded a second-cycle qualification, or
- has satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second cycle, or
- has acquired substantially equivalent knowledge in some other way in Sweden or abroad.
- At least 120 credits in subjects of relevance to the field of research, including at least 75 second-cycle credits in a relevant field for the subject area, or
- a second-cycle degree in civil engineering, environmental engineering, or similar
- Documented experience of application of artificial intelligence including machine learning and deep learning algorithms.
- Documented programming skills in Python, R, or MATLAB.
- Very good knowledge of English, spoken and written.
- Good ability to work independently and to formulate and tackle research problems.
- Good written and oral communication skills
- Good ability to work in a team.
- Hands-on experience with Linux environments, SQL/database management, and backend or frontend server systems, particularly for geospatial data processing and deploying analytical or predictive models
- Documented experience of analysis of remote sensing (RS) data, satellite image processing, or google earth engine in water-related subjects.
- CV and a cover letter stating the reasons why you are interested in the doctoral programme/employment and in what way the research project corresponds to your interests and educational background.
- Copies of issued study certificates and/or awarded degree certificates. These must confirm that you meet the general and specific admission requirements for the doctoral programme and show that you have the subject knowledge required for the doctoral programme project.
- Other documents you wish to be considered (grade transcripts, contact information for your references, letters of recommendation, etc.)