[SocBiN] 3 postdoc positions in AI and ML for biomedical research

[Jaak Vilo]

We announce 3 open postdoc positions in biomedical data science and 
machine learning
at the University of Tartu, Estonia. All 3 have application deadline 
June 4, 2018 or until position is filled.

Postdoc Position in Machine Learning for Medical and Cellular Imaging @ 
Tartu, Estonia
Postdoc Position in Health Data Analytics @ Tartu, Estonia
Postdoc Position in Machine Learning and Probability Calibration for 
Health @ Tartu, Estonia

All openings: www.cs.ut.ee/en/jobs <https://www.cs.ut.ee/en/jobs>
There will be also a call for 6 junior group leaders - 2-3 of which will 
be in
AI and biomedical data science.

Prof. Jaak Vilo
Head of Department of Computer Science, University of Tartu

---

Postdoc Position in Machine Learning for Medical and Cellular Imaging @ 
Tartu, Estonia

Applications of deep learning are changing the way automated analyses help
annotate clinical and biological data. We are looking to capitalize on
their promise via established links with hospitals and high content
screening system manufacturers to develop new models, methods, and tools
for biomedical image analysis. To this end, we are looking for an excellent
postdoctoral fellow to work in the area of machine learning applied to
image analysis problems in health and biomedical fields.
The successful candidate will conduct original research in the fields of
deep learning and computer vision, with a focus on applications in
biological/medical imaging, bioinformatics, or related fields of study.
They will publish, give talks, help supervise, and teach up to 2 hours per
week in the area of specialization.
The Institute of Computer Science at the University of Tartu is ranked
joint first in Central and Eastern European universities according to the
field-specific Times Higher Education Ranking 2017.
Application deadline: June 4, 2018 or until position is filled
Starting at: Sept 1, 2018
Fixed-term contract until: Aug 31, 2020 with options to extend
Salary: Approximately 30,000€ / year, depending on the candidate's
qualification and the level of experience.
More details:
https://www.ut.ee/en/welcome/job-offer/research-fellow-ai-medicalcellular-imaging 
<https://www.ut.ee/en/welcome/job-offer/research-fellow-ai-medicalcellular-imaging>
More information:
Leopold Parts (leopold.parts at ut.ee <mailto:leopold.parts at ut.ee>), Raul 
Vicente Zafra (raul.vicente.zafra at ut.ee <mailto:raul.vicente.zafra at ut.ee>)

---

Postdoc Position in Health Data Analytics @ Tartu, Estonia

University of Tartu hosts one of the top biobanks in Europe. The major goal
is to implement the personalised (precision) medicine potential by
delivering genetics and health data analytics based solutions to the health
services. To achieve this goal one needs to utilise the health data to the
highest standards. We are looking for a postdoc to work on health data from
the national electronic health records and the biobank, mapping health data
to common data models (OMOP), develop analytical software and apply machine
learning/AI on the health data. Of particular interest are the individual
level predictions based on one's health and demographic data, genetics,
treatments and outcomes and future potential disease trajectory
developments. The position focus can be tuned for the particular interests
and strengths of the applicant.
The Institute of Computer Science at the University of Tartu is ranked
joint first in Central and Eastern European universities according to the
field-specific Times Higher Education Ranking 2017.
The successful candidate will conduct research in the field of health data
analytics; prepare and implement research projects under the supervision of
senior staff; supervise graduate and doctoral students.
Application deadline: June 4, 2018 or until position is filled
Starting at: Sept 1, 2018
Fixed-term contract until: Aug 31, 2021 with options to extend
Salary: Internationally competitive salary, approximately 30,000€ / year,
depending on the candidate's qualification and the level of experience.
More details:
https://www.ut.ee/en/welcome/job-offer/research-fellow-health-data-analytics 
<https://www.ut.ee/en/welcome/job-offer/research-fellow-health-data-analytics>
More information:
Jaak Vilo, jaak.vilo at ut.ee <mailto:jaak.vilo at ut.ee>

---

Postdoc Position in Machine Learning and Probability Calibration for 
Health @ Tartu, Estonia

Machine learning plays an increasingly important role in automation and
decision support for health and medicine. Due to high costs and imbalance
between different types of errors in the health domain it is crucial that
the machine learning solutions would quantify the uncertainties correctly
and provide well-calibrated probability estimates. Probabilistic methods,
deep learning and calibration methods offer different approaches to this
challenge. We are looking for an outstanding postdoctoral researcher for
employment on a two-year long contract with options to extend the
appointment.
The successful candidate will conduct research in the field of machine
learning with a focus on uncertainty quantification and calibrated
probability estimation; prepare and implement research projects under the
supervision of senior staff; supervise graduate and doctoral students.
The Institute of Computer Science at the University of Tartu is ranked
joint first in Central and Eastern European universities according to the
field-specific Times Higher Education Ranking 2017.
Application deadline: June 4, 2018 or until position is filled
Starting at: Sept 1, 2018
Fixed-term contract until: Aug 31, 2020 with options to extend
Salary: Approximately 30,000€ / year, depending on the candidate's
qualification and the level of experience.
More details:
https://www.ut.ee/en/welcome/job-offer/research-fellow-machine-learning-and-calibration 
<https://www.ut.ee/en/welcome/job-offer/research-fellow-machine-learning-and-calibration>
More information:
Meelis Kull, meelis.kull at ut.ee <mailto:meelis.kull at ut.ee>



-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.su.se/pipermail/socbin-at-sbc.su.se/attachments/20180518/c757fc65/attachment.html>