Umeå universitet, instituionen för datavetenskap

Umeå University is one of Sweden’s largest higher education institutions with over 37,000 students and about 4,700 employees. The University offers a diversity of high-quality education and world-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9 gene-editing tool, which was awarded the Nobel Prize in Chemistry, was made here. At Umeå University, everything is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture.

The ongoing societal transformation and large green investments in northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering education to enable regions to expand quickly and sustainably. In fact, the future is made here.

Are you interested in learning more? Read about Umeå university as a workplace

Umeå University offers a post-doctoral position in Computing Science in Prehospital resource optimization. The position is placed at the Department of Computing Science and comprises two years of research. The application deadline is 30 May 2018.

As we strive for a more balanced gender distribution within the department, we specifically encourage women as applicants.

Department of Computing Science


The Department of Computing Science has about 100 employees from about 20 countries. We conduct education and research on a broad range of topics in Computing Science and collaborate with various national and international research institutions and industry partners. We offer you an inspiring international atmosphere, challenging research questions and excellent career opportunities.

Project description

An aging population, urbanization and medical progress demands a flexible prehospital care. The changes require that the emergency medical service is customizable so that resources can be used sustainably, efficiently and equitably. This includes an equal care regardless of age, sex and geography, and that the environmental perspective is taken into account.

The aim of the project is to develop a broad solution that enables the prehospital care to be organized in an optimal way, which requires that we can predict key metrics for different resource allocations and simulate future alarms. Our solution combines unique historical alarm- data, advanced statistical modelling and large-scale simulations to derive information that allows for transparent decision-making and optimal resource utilization. The solution makes it easy to highlight the implications for specific patient groups, which is central from a democracy and gender perspective.

The prehospital care in Sweden has about 660 ambulances, respond to about 1.2 million emergency calls per year, and costs more than 4 billion SEK per year. The tool that we intend to develop creates settings for a systematic quality management, which in the long run can cause large efficiency gains.

The postdoc, who will be employed at the Department of Computing Science, will be responsible for modelling the response times of rescue vehicles, based on historical data. The central methodology is machine learning and simulation. The project is strongly cross-disciplinary and involves participants from academia and prehospital care, and the candidate will work in close collaboration with different team members, in particular a postdoc in spatio-temporal statistics.

Qualifications

To qualify for the position, you should have a PhD degree, or a foreign degree that is deemed equivalent, in Computer Science, Mathematics, or Mathematical Statistics. To be eligible the degree should have been completed a maximum of three years before the end of the application period unless certain circumstances exist. Good skills in written and spoken English are a requirement.

The applicant should have documented experience in computer science, primarily in machine learning and simulations. Strong programming skills are required. Knowledge about statistics and graph theory strengthen the application. Due to the cross-disciplinary nature of the project, it is important that the candidate is able both to conduct independent research and collaborate well with others.

About the position

The post-doctoral position comprises two years and starts 1 July 2018 or according to agreement.

The application

Applications may be written in Swedish or English and shall contain:

  1. a personal letter describing your research interests and experience and containing contact information (maximum 2 A4 pages);
  2. documentation of completed academic courses with grades (transcript of records) and copies of degree certificates;
  3. Curriculum Vitae;
  4. copies of relevant theses and any other kind of significant scientific work;
  5. the names and contact details of two persons willing to act as references.

Start date: 1 July 2018 or according to agreement.

For further information, contact Associate professor Johanna Björklund (tel: +46 70 603 94 59, e-mail: johanna.bjorklund@umu.se) or Associate professor Patrik Rydén (tel: +46-90 786 95 62, e-mail: patrik.ryden@umu.se).

Applications must be submitted electronically using Umeå University’s e-recruitment system, and be received no later than 30 May 2018. Ref no AN 2.2.1-850-18.

According to the Higher Education Ordinance (chapter 12, 2§) the hiring decision cannot be appealed.

We look forward to receiving your application!

Type of employment Temporary position
Contract type Full time
First day of employment July 1, 2018 or as otherwise agreed
Salary Månadslön
Number of positions 1
Full-time equivalent 100%
City Umeå
County Västerbottens län
Country Sweden
Reference number AN 2.2.1-850-18
Contact
  • Ass. prof. Johanna Björklund, +46 70 603 9459
Union representative
  • SACO, 090-786 53 65
  • SEKO, 090-786 52 96
  • ST, 090-786 54 31
Published 09.May.2018
Last application date 30.May.2018 11:59 PM CEST

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