PhD position in Pharmaceutical Sciences with focus on AI/ machine learning
Published: : 2019-07-04
Uppsala University is a comprehensive research-intensive university with a strong international standing. Our mission is to pursue top-quality research and education and to interact constructively with society. Our most important assets are all the individuals whose curiosity and dedication make Uppsala University one of Sweden’s most exciting workplaces. Uppsala University has 44.000 students, 7.100 employees and a turnover of SEK 7 billion.
Department of Pharmaceutical Biosciences has 140 employees and a number of visiting researchers and fellow students. The department has twelve research groups with a common administration and we are doing research and teaching in pharmaceutical cell biology / biochemistry, pharmacology, pharmaceutical and drug addiction, pharmacotherapy, pharmacokinetics, pharmacometry, clinical pharmacy, bioinformatics, imaging mass spectrometry, molecular neuropharmacology, immunology, biological drugs / biotechnology as well as toxicology and drug safety. More information about the department and its activities can be found at www.farmbio.uu.se.
Placement: The PhD student position is associated with the research group Pharmaceutical Bioinformatics.
Duties: The successful candidate will be part of the interdisciplinary research project Hierarchical Analysis of Temporal and Spatial Data (HASTE) within the research group of Assoc. Prof. Ola Spjuth, see https://pharmb.io/. Co-supervisors will be Prof. Carolina Wählby and Assoc. Prof. Andreas Hellander.
The HASTE project is funded by the Swedish Foundation for Strategic Research (SSF) and aims at developing new, intelligent ways of processing and managing very large amounts of microscopy images in order to be able to leverage the imminent explosion of image data from modern experimental setups in the biosciences. Industry collaborators are Vironova AB and AstraZeneca AB. More information about the HASTE project is available at http://haste.research.it.uu.se.
This PhD project has a focus on machine-learning with quantifiable confidence or probability, and in particular working with and applying Learning Using Privileged Information (LUPI), Online Compression Modeling and Probabilistic (Venn) Predictions on image data from the collaborating industrial partners AstraZeneca and Vironova.
The successful candidate will be expected to collaborate closely with other project partners towards the goals of the project, and is expected to participate in regular research visits to the sites of the industrial partners.
The position includes 20 % teaching.
Requirements: The highly motivated candidate, with an academic degree at the Masters level or equivalent (at least 240 credits), should be experienced in programming and have a strong interest in research on AI/machine learning on image data from life science applications. Excellent skills in oral and written English are required.
Information about research-level education, eligibility requirements, and admission regulations can be found at http://www2.medfarm.uu.se/utbildning/forskarniva/.
Applicants will be ranked by the supervisor in consultation with the Department Research Education group. The Committee for Research Education at the Disciplinary Domain of Medicine-Pharmacy will admit the PhD student. Salaries will follow local guidelines at Uppsala University.
Rules governing PhD candidates are set out in the Higher Education Ordinance Chapter 5, §§ 1-7 and in Uppsala university's rules and guidelines http://regler.uu.se/search/?hits=30&languageId=1&search-language_en=English. The holders of PhD student position primarily devote their time to own research-level education. Other duties at the Department involving teaching and administrative tasks maybe included in the framework of the position (max 20 %). The PhD program normally lasts for 4 years research, plus maximally one year of teaching.
Application: The application should include a letter with a brief description of research interests and relevant experience in relation to the requirements listed above, a CV, copies of diplomas and certificates, thesis as well as other relevant documents that the applicant wish to refer to.
Uppsala University strives to be an inclusive workplace that promotes equal opportunities and attracts qualified candidates who can contribute to the University’s excellence and diversity. We welcome applications from all sections of the community and from people of all backgrounds.
Salary: According to local agreement for PhD students and teaching assistants.
Starting date: By agreement. Temporary position.
Type of position: Full time position.
For further information about the position, please contact senior lecturer Ola Spjuth, tel +46 (0)184714681, e-mail Ola.Spjuth@farmbio.uu.se
For questions around the employment, please contact administrative coordinator Marina Rönngren, e-mail firstname.lastname@example.org.
Please submit your application by 12 of August 2019, UFV-PA 2019/2595
Are you considering moving to Sweden to work at Uppsala University? If so, you will find a lot of information about working and living in Sweden at www.uu.se/joinus. You are also welcome to contact International Faculty and Staff Services at email@example.com.
Please do not send offers of recruitment or advertising services. Applications must be submitted as described in this advertisement.
Type of employment: Full time , Temporary position longer than 6 months
Pay: Fixed salary
Number of positions: 1
Working hours: 100 %
County: Uppsala län
Union representative: Seko Universitetsklubben firstname.lastname@example.org
Number of reference: UFV-PA 2019/2595
Last application date: 2019-08-12