Postdoc Position in Spatial Data Mining at The Department of Computer Science, University of Copenhagen

The Department of Computer Science, University of Copenhagen, Denmark, seeks applications for a 14-month Postdoc position in spatial data mining under joint mentoring of Professor Christian Igel (machine learning) and Associate Professor Marcos Vaz Salles (database systems).
The position is associated to the project GANDALF: Untargeted Fingerprinting Analysis and GIS Visualization of Contaminants ? A New Paradigm for Chemical Impact Assessment in Urban Development, supported by Innovation Fund Denmark (http://plen.ku.dk/english/research/env_chem_phys/a...). The project involves research and development of data-driven models for contaminant spreading taking into account the geospatial characteristics of the problem. Collaboration with a leading research group in analytical chemistry at the University of Copenhagen is expected (http://plen.ku.dk/english/research/env_chem_phys/a...), as well as with industrial and government partners, primarily MOE|Seacon (http://www.moe.dk/) and KMC Nordhavn (http://www.kk.dk/kmc), who have access to historical datasets of contamination within the city of Copenhagen. KMC Nordhavn is part of the city of Copenhagen, while MOE|Seacon is a firm with specialized competences in environmental advisory for large construction projects. Upon a positive collaboration, there is a possibility of offer of a follow-up postdoc position of 4 months associated with MOE|Seacon.
The candidate must have a strong background in machine learning and/or data mining. Preference will be given to candidates who have experience with spatial data and collaborations with broader areas of science (e.g., physics, chemistry). Knowledge in modelling with Gaussian processes is a plus.
The start date of the employment is expected to be 1 September 2016 or as soon as possible thereafter.
How to apply
Press “APPLY NOW” to fill in the application form. Applications received after the deadline, or with insufficient documentation or otherwise not complying with the above requirements, may not be considered.
Deadline for applications is 5 August 2016 at 12.00 local Danish time.
The application must contain:
- A letter describing your research interests and your main results.
- Curriculum vitae.
- List of publications.
- Copy of Masters and PhD Diplomas and transcripts with relevant grades.
- Separate reprints of 2 particularly relevant papers.
Procedures
An assessment committee will be appointed to evaluate the applications. The applicants will be notified of the composition of the committee and the final selection of a successful candidate will be made by the Head of Department, based on the recommendations of the assessment committee.
The University of Copenhagen wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background.
You can read about the recruitment process at http://employment.ku.dk/faculty/recruitment-proces....
Terms of Employment
The position is covered by the Memorandum on Job Structure for Academic Staff.
Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State.
The starting salary is currently up to DKK 408,730 including annual supplement (+ pension up to DKK 69,893). Negotiation for salary supplement is possible.
Non-Danish and Danish applicants may be eligible for tax reduction, if they have not lived in Denmark the last 10 years. Information about working conditions and taxes is available at www.workingconditions.ku.dk and www.ism.ku.dk.
Contact information
Enquiries about the position can be made to Associate Professor Marcos Vaz Salles, Department of Computer Science, University of Copenhagen, Denmark, vmarcos-AT-diku.dk.