PhD Student Position in Computer Science: Smart health
Malmö universitet / Administratörsjobb (offentlig verksamhet) / Malmö
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hela Sverige Malmö University, located in the center of Malmö, is an innovative, urban, and international institute of higher education, with about 1800 employees and 24000 students. Research and education at the University are characterized by the urgent demands of contemporary society - to contribute to sustainability and equality, based in rigorous science, in close co-operation with external partners and stakeholders, prioritizing and addressing the challenges of the future. Faculty and students work collaboratively to acquire, share, and disseminate knowledge, in order to understand, explain and develop societal circumstances - locally as well as globally.
Faculty
The Faculty of Technology and society (TS) offers educations and research in computer science and media technology as well as engineering, natural sciences and applied mathematics. A characteristic of our research and teaching is the engagement of companies and other organizations as active participants.
Department
At the Department of Computer Science and Media Technology, currently around 60 lecturers, researchers and professors from 20 different countries are employed.
For more information about the activities at the department, please visit
http://mah.se/english/faculties/Faculty-of-Technology-and-Society/Job description and responsibilities
This Ph.D student project concerns the development and application of methods of mathematics and computer science, including optimization, simulation, agent technology, machine learning, and sensor technology in order to build decision support systems in the area of health care logistics, with an initial focus on stroke patients.
The Ph.D. student will be part of an interdisciplinary research initiative aiming at improving healthcare logistics and providing equal care for the inhabitants of the Southern Health Care Region, which comprise the Regional councils of Blekinge, Halland Kronoberg, and Skåne. The initiative has been launched as a collaboration between Malmö university, Skåne University Hospital, and the Southern Regional Health Care Committee, and the current focus of the work is to improve the situation for the stroke patients in the region.
Stroke is a medical condition resulting in reduced blood flow in the vessels inside the brain. The lack of blood flow causes severe damage on the brain cells, and without immediate treatment, the patient has a low chance to make a satisfactory recovery and almost two in five patients die. However, providing fast treatment of stroke patients is far from trivial, which to a large extent is due to logistical challenges.
The work of the PhD students is expected to result in decision support systems that can be used to
• Identify logistical approaches that have potential to reduce the time from emergency call to treatment of patients.
• Evaluate the identified approaches using simulation.
In particular, optimization is involved in the identification of actions, and the evaluation requires modeling of the stroke logistics environment using simulation, agent technology, and machine learning methods.
The Ph.D. student might also work with other types of questions related to health care logistics, including Internet of Things (IoT), where sensor technology might be used to improve the efficiency of ambulance operations, utilizing on the fact that ambulances of today are connected entities.
Eligibility requirements for admission
Ph.D. students are both employed and admitted to the study programme in parallel.
To be eligible for PhD studies, a student must have:
• a second-cycle higher education degree.
• completed course requirements of at least 240 higher education credits, of which at least 60 higher education credits are second-cycle.
• in some other way, nationally or internationally, acquired equivalent knowledge.
Regulations regarding admission to PhD studies can be found in Higher Education Ordinance 7 Chap. 34-41 §§.
Specific admission requirements
Specific eligibility is accorded to those who have knowledge and skills equivalent to a second-cycle degree in computer science or in another subject that has relevance for computer science.
Excellent knowledge of written and spoken English is a prerequisite.
Assessment and selection criteria
Initial assessment concerns the general and specific eligibility requirements (above).
Further, according to Higher Education Ordinance 5 Chap. 5 §, importance is placed on the student's ability to appropriate the advanced learning of the third-cycle PhD programme. The previously written material and the dissertation plan are important indicators of this ability as well as research experience and documented relevant working life experience. Of special relevance are independently written material on advanced level (MSc).
Good knowledge (on the level of second-cycle higher education degree) of computer science or related area, knowledge in optimization, simulation, agent technology, machine learning, and sensor technology is meritorious.
Additional assessment criteria include demonstrated analytical and communication skills, and demonstrated fluency in written and spoken English.
Information
Johan Holmgren, associate professor,
johan.holmgren@mau.se Bo Peterson, head of department,
bo.peterson@mau.se Sara Eriksson, HR specialist,
sara.eriksson@mau.seForm of employment
Employment is full-time and time restricted according to Higher Education Ordinance 5 Chap. 7 §.
Malmö University is characterized by an open and inclusive approach, where gender equality and equal opportunities add value to our activities.
Starting date
As soon as possible
Please see the complete ad on our website
Varaktighet, arbetstid
Heltid/ Ej specificerat
Publiceringsdatum2019-03-20Ersättning•
Så ansöker duSista dag att ansöka är 2019-04-17
Klicka på denna länk för att göra din ansökanFöretagMalmö universitet
AdressMalmö universitet
205 06 Malmö
20506 Malmö
Kontorsadress205 06 Malmö
Jobbnummer 4681695
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