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ALLSTAT  May 2018

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Subject:

Research post in Sweden

From:

Peter Diggle <[log in to unmask]>

Reply-To:

Peter Diggle <[log in to unmask]>

Date:

Mon, 14 May 2018 21:25:05 +0100

Content-Type:

text/plain

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text/plain (110 lines)

Post-Doctoral Postition in Mathematical Statistics 


Umea University, Faculty of Science and Technology

Umea University is dedicated to providing creative environments for learning and work. We offer a wide variety 
of courses and programmes, world leading research, and excellent innovation and collaboration opportunities. 
More than 4 300 employees and 31 500 students have already chosen UmeΠUniversity. We welcome your application



UmeŒ University offers a post-doctoral position in Spatio-Temporal Statistics for Prehospital resource optimization. The position is placed at the Department of Mathematics and Mathematical Statistics and comprises two years of research.ÊThe application deadline is 11 June 2018.


TheÊDepartment of Mathematics and Mathematical statistics

The Department of Mathematics and Mathematical Statistics with around 50 active researchers on different seniority 
levels, conducts research in key areas of computational science, mathematics and mathematical statistics. We offer 
courses at all levels, as well as consulting services to partners within and outside of the university. The 
department offers a theoretical as well as multidisciplinary environment and is a founding partner of prominent 
interdisciplinary research labs. The atmosphere is both friendly and inspiring.




Project description

An aging population, urbanization and medical progress demand 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 successful candidate, who will be based at the 
Department of Mathematics and Mathematical Statistics, will be responsible for modelling incoming calls to the 
emergency services, based on historical observations. This entails a large portion of data analysis and 
spatio-temporal point pattern statistics. The project is strongly cross-disciplinary, involving people from 
both academia and emergency services, and the candidate will work in close collaboration with various group 
members, in particular another post-doctoral candidate in the project who works within computer science.




Qualifications

To qualify for the position, you must have obtained a PhD degree, or a foreign degree deemed equivalent, in 
mathematical statistics or equivalent subject. Candidates who have not yet obtained their doctorate degree 
certificates but have completed all parts of the degree can apply but must have the certificates before the 
start of employment. To be eligible to apply, the degree must have been obtained no more than three years 
before the closing date of the position, unless there are particular circumstances.
Programming skills, 
preferably in the programming language R, are a requirement; skills in other programming languages are 
a merit. The applicant should also have documented knowledge of statistics, preferably spatial/spatio-temporal 
statistics with focus on point pattern analysis. ÊDue to the projectÕs cross-disciplinary nature, it is 
important that the candidate possesses communication skills and social skills, and, in addition, has the 
ability to conduct independent research and work as a team member. Good skills in written and oral English 
are also a requirement.




About the position

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




Application

The application is made through our recruitment system no later than 11 June 2018. You may log in at

https://umu.mynetworkglobal.com/en/what:job/jobID:202863/

and apply by pressing the button at the bottom of the page. The application may be written in Swedish or 
English and must contain:
¥ a personal letter, containing your contact information as well as a description 
of your research interests and experience (maximum 2 A4 pages)
¥ Curriculum Vitae with your publication 
list
¥ copy of degree certificates (or equivalent if the PhD degree certificate has not yet been obtained) 
and documentation of completed academic courses
¥ copies of your doctoral thesis and other relevant scientific 
work (max 10 publications)
¥ names and contact details for two persons willing to act as references 
As we 
strive for a more balanced gender distribution within the department, we especially encourage women as 
applicants.




For further information

Contact Assistant professor Ottmar Cronie (tel: +46 90 786 57 42, e-mail: [log in to unmask]) or 
Associate professor Patrik RydŽn (tel: +46-90 786 95 62, e-mail: [log in to unmask]).

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