Postdoctoral researcher/Researcher in machine learning
Örebro universitet / Högskolejobb / Örebro
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hela Sverige Örebro University seeks to appoint a researcher with established expertise in Machine Learning. This position is jointly offered by three research groups at Örebro University: AASS, MTM/EnForce, and Functional Bioinformatics. AASS is one of the nationally leading research groups in robotics, AI and applied Machine Learning. The MTM/EnForce Centre at Örebro University focuses on environmental toxicant discovery and hazard assessment using advanced analytical methods, bioassay technologies and effect-directed analysis. The Functional Bioinformatics group conducts research in applying and further developing machine learning approaches for pattern discovery in biomedicine (biosignatures for diagnosis, prediction, and prognosis) as well as for systems for biological applications (network biology and network medicine).
Duties and responsibilities
The candidate will work closely together with AASS, MTM/EnForce and Functional Bioinformatics and bring in their Machine Learning (ML) expertise in the respective projects. The selected candidate will represent and apply this expertise and take responsibility for the technical infrastructure. It is possible but *not* required to acquire external funding or to teach. The position thus leaves room to keep in touch with current ML developments and admits further development of specialist skills. While the selected candidate will be included in all publications that result from the collaboration with other researchers at Örebro University, it is optional to pro-actively drive research or to develop a research portfolio at once own beyond their core expertise.
Eligibility
Eligible for the appointment as postdoctoral researcher are applicants holding a doctoral degree. A PostDoc position is offered if the successful applicant's doctoral degree has been awarded no more than three years prior to the application deadline. Candidates who have obtained their doctoral degree prior to that are also invited to apply, the successful applicant will in that case be offered a researcher position.
We are looking for candidates who are excited about applying Machine Learning techniques in robotics and life science and are keen to have a strong, positive impact on society. The successful candidate should have a strong background in Machine Learning/AI, demonstrated by their previous research work.
Assessment criteria
The assessment of the candidates is based on previous research and publication records and the suitability to the position outlined above, as well as demonstrated programming and deployment skills. It is not necessary to be familiar with the Swedish language, but excellent communication skills in English, both written and spoken, are a requirement. The position also requires good interpersonal skills, especially the ability and interest to cooperate in a highly interdisciplinary context.
Equality
Our ambition is to create a workplace that is characterised by gender equality and diversity.
Information
The position is a full-time position for a fixed term of two (2) years with a possibility of up to two (2) years extension. This position offers a competitive salary that depends on the successful candidate's qualifications and experience.
For more information about the scientific aspects of this position, please contact Prof. Achim J. Lilienthal by email at
achim.lilienthal@oru.se, Prof. Dirk Repsilber at
dirk.repsilber@oru.se or Prof. Magnus Engwall at
magnus.engwall@oru.se.
Application
The application is made online. Click the button "Apply" to begin the application procedure.
For the application to be complete, the following electronic documents must be included:
• Cover letter
• CV
• An account of research qualifications
• Copies of relevant course/degree certificates and references
• Scientific publications for consideration (maximum of 10)
• List of at least two references (with name, affiliation, phone number)
Only documents written in English, Swedish, Norwegian and Danish can be reviewed.
The application deadline is 11 December 2019. We look forward to receiving your application!
We decline any contact with advertisers or recruitment agencies in the recruitment process.
As directed by the National Archives of Sweden (Riksarkivet), Örebro University is required to deposit one file copy of the application documents, excluding publications, for a period of two years after the appointment decision has gained legal force.
Varaktighet, arbetstid
Heltid/ Ej specificerat
Publiceringsdatum2019-11-27ErsättningIndividuell lönesättning
Så ansöker duSista dag att ansöka är 2019-12-11
Klicka på denna länk för att göra din ansökanFöretagÖrebro Universitet
Omfattning Detta är ett heltidsjobb.
Arbetsgivare Örebro Universitet (org.nr 202100-2924),
http://www.oru.se/ Jobbnummer 4968545
Observera att sista ansökningsdag har passerat.