[3dem] 3 PhD positions in Cryo-Electron Tomography Image Processing

Friedrich Foerster frido at salilab.org
Wed Apr 12 01:07:01 PDT 2017


Dear 3dem'ers,


several PhD positions are available at Utrecht University. Details can be
found on the following link and below:


www.academictransfer.com/39723





*3 PhD positions (0.8 – 1.0 fte) in Cryo-Electron Tomography Image
Processing *

*Job description*

We seek to fill 4-years (1.0 fte) or 5-years (0.8 fte) PhD positions on
image processing of cryo-electron tomography images. The positions are
available immediately in joint projects of the groups of prof. Friedrich
Förster (www.uu.nl/research/cryo-em, Dept. of Chemistry) and prof. Remco
Veltkamp (https://www.staff.science.uu.nl/~veltk101/), Dept. of Information
and Computing Sciences) at Utrecht University.

In a joint project, the PhD candidate will develop novel methods for
detection of macromolecular complexes in low signal-to-noise ratio volumes
using machine-based learning (e.g., ‘deep learning’). The main research
question is how to improve the successive stages in cryo-electron tomography:
detection, alignment, and classification.

The research in the cryo-EM group headed by prof. Förster focuses on
structural studies of membrane-associated processes in their native
settings. In essence, the aim is to observe molecules at work in cells
using cryo-electron tomography (cryo-ET) in conjunction with advanced image
analysis. To this end the group develops and applies computational methods
for three-dimensional tomographic reconstruction and statistical analysis
to mine the volumetric data. The research in the group of prof. Veltkamp
centers on developing efficient methods for aligning, reconstruction, and
recognition of shapes, which will be combined and improved further. The
challenge is to research novel 3D macromolecular complex features,
similarity measures, and classification technologies, and to evaluate these
with scientific rigor.

The task of the PhD candidate is to perform research on the above topics,
develop novel algorithms, perform sound experiments, publish the results at
international conferences and in scientific journals, complete a PhD
thesis, and guide student projects.

*Qualifications*

The successful PhD candidate is an excellent student and holds a master
degree in computational sciences, mathematics, (bio)physics, or a related
field of science. Previous experience in signal and image processing would
be a plus. Strong written and oral communication skills in English and
interest in biological research are required.

Candidates of all nationalities may apply. The university is striving for a
more even gender balance in its research and teaching staff, and women are
especially encouraged to apply for these positions. Personal circumstances
that may be of positive relevance in merit evaluation, for example parental
leave, should be mentioned in the list of qualifications (CV).

*Additional information*

For additional information about the vacancy, please contact Friedrich
Förster (f.g.forster at uu.nl) or Remco Veltkamp (r.c.veltkamp at uu.nl).
Promising candidates will be granted an interview in person, or by video
conference (for international candidates). As part of the selection
procedure, the candidate is expected to give an oral presentation about
his/her master research.

*About the organization*

A better future for everyone. This ambition motivates our scientists in
executing their leading research and inspiring teaching. At Utrecht
University, the various disciplines collaborate intensively towards major
societal themes. Our focus is on Dynamics of Youth, Institutions for Open
Societies, Life Sciences and Sustainability.

The city of Utrecht is one of the oldest cities in the Netherlands, with a
charming old center and an internationally oriented culture that is
strongly influenced by its century-old university. Utrecht city has been
consistently ranked as one of the most liveable cities in the Netherlands.

 The Faculty of Science consists of six departments: Biology,
Pharmaceutical Sciences, Information and Computing Sciences, Physics and
Astronomy, Chemistry and Mathematics. The Faculty is home to 5600 students
and nearly 1500 staff and is internationally renowned for the quality of
its research. The Faculty's academic programmes reflect developments in
today's society.



*Apply*

To apply, please attach a letter of motivation, curriculum vitae, a copy of
the MSc thesis (if available), names and contact details of two references.
The application must be done in English.

The application deadline is 30.04.2017.

Please visit www.academictransfer.com/39723 to apply.



-- 
prof. dr. Friedrich Foerster

Bijvoet Center for Biomolecular Research
Utrecht University
Padualaan 8
3584 CH Utrecht
The Netherlands

Tel: +31 30 253 4318 <+31%2030%20253%204318>

http://www.uu.nl/en/research/cryo-em
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