Työnimike: Early Stage Researcher (PhD student), data mining

Työnkuvaus:
The University of Eastern Finland, UEF, is one of the largest multidisciplinary universities in Finland. We offer education in nearly one hundred major subjects, and are home to approximately 15,000 students and 2,800 members of staff. We operate on three campuses in Joensuu, Kuopio and Savonlinna. In international rankings, we are ranked among the leading 300 universities in the world. The Faculty of Health Sciences operates at the Kuopio Campus of the University of Eastern Finland. The Faculty offers education in medicine, dentistry and pharmacy, as well as in some other central fields of the health care sector. The Faculty is research-intensive, and its internationally recognised research activities are closely linked to the strategic research areas of the University. There are approximately 2 500 degree students and about 450 PhD students in the Faculty. The number of staff adds up to almost 700 experts. http://www.uef.fi/en/ttdk/etusivu We are now inviting applications for an Early Stage Researcher (PhD student), data mining position, School of Pharmacy, Kuopio Campus A person to be appointed as an early stage researcher shall be qualified to pursue postgraduate studies, i.e. he or she is required to have completed a suitable higher university degree. Positions of early stage researchers shall always be filled for a fixed term (UEF Administrative Regulations, Section 30). Project description The register-based MEDALZ (MEDication use and ALZheimer's disease) study is a nationwide cohort of all community-dwelling persons diagnosed with Alzheimer's disease (AD) in Finland during 2005-2011 (n=70,718). The data have been linked to multiple Finnish registers, including prescription register and hospital discharge register. More information of the study are available at http://www.uef.fi/en/web/gerho/tutkimus This project, funded by the Academy of Finland, will assess whether data mining methods are suitable for identifying medications and medication combinations that are related to increased susceptibility for adverse drug events in persons with and without AD. Major responsibilities The PhD student has the main responsibility of testing the suitability of different data mining methods conducting statistical analyses and drafting the manuscripts under provided supervision. The recruit will work in a multidisciplinary team including clinicians from different fields (geriatrics, neurology), pharmacists, mathematician, epidemiologists and computing scientist. The PhD student is expected to work independently, plan and organise his/her own work, work well with team members and efficiently communicate scientific results in written and spoken English. Qualifications MSc from computing science, statistics, mathematics or equivalent Understanding of common machine learning and data mining tools Good knowledge of programming, preferably with R and Python Good/fluent English (written and preferably oral) Familiarity with literature searches and experience on scientific writing are considered favourable but are not prerequisite. Examples of our recent pharmacoepidemiological publications: http://www.ncbi.nlm.nih.gov/pubmed/27298071, http://www.ncbi.nlm.nih.gov/pubmed/26450581, http://www.ncbi.nlm.nih.gov/pubmed/25453487, http://www.ncbi.nlm.nih.gov/pubmed/24875073, http://www.ncbi.nlm.nih.gov/pubmed/24875073 The position is filled for a fixed term from 1.10.2016 to 30.9.2019. The salary of the position is determined in accordance with the salary system of Finnish universities and is based on levels 2-4 of the job requirement level chart for teaching and research staff (€1,985.85 - 2,475.31/ month). In addition to the job requirement component, the salary includes a personal performance component, which may be a maximum of 46.3% of the job requirement component. For further information on the position, please contact: Associate Professor (Tenure Track) Anna-Maija Tolppanen, 050 - 575 9530, anna-maija.tolppanen (at) uef.fi. For further informa

Työnantajan nimi: Itä-Suomen yliopisto

Työnantajan osoite: 70211 KUOPIO

Työn lyhyt kuvaus: Farmaseutit

Maa: Suomi

Alue: Pohjois-Savo

Sopimuksen kesto: Tilapäinen

Sopimuslaji: Kokopäiväinen

Lähde työtarjous: TE-palvelut, Julkiset työvoimapalvelut, Suomi