[robotics-worldwide] [jobs] PhD/Postdoc position at Hamburg University in Robot Vision/Computer Vision

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[robotics-worldwide] [jobs] PhD/Postdoc position at Hamburg University in Robot Vision/Computer Vision

Simone Frintrop
PhD/Postdoc position at Hamburg University in Robot Vision/Computer
Vision (Application deadline: Jan. 14th!)

A PhD or Postdoc position is open in the Computer Vision group at the
computer science department of the University of Hamburg (UHH), Germany,
headed by Simone Frintrop

(https://urldefense.proofpoint.com/v2/url?u=https-3A__www.inf.uni-2Dhamburg.de_en_inst_ab_cv_people_frintrop.html&d=DwIDaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=-Cpmh5fyclHtV2F-Ui66hBzXFWgY0ZmU-W2uYkCq3s8&s=R3Xapm-DbohQtM36yIjucdTrMbY0yjcxwrabKFd1V80&e= )

The group:

The focus of the computer vision group at UHH is to develop algorithms
in the context of mobile vision devices such as autonomous robots or
head-mounted camera systems. In our research, we seek inspiration from
the human visual system and develop algorithms inspired by these
mechanisms for solving computer vision tasks. Main topics of research
are visual attention, saliency prediction, segmentation, and object
discovery. Find out more about our group here:

The project:


You will work within the new research project "Adaptive Cross-modal
Sensor Data Acquisition", which is a cooperation between the University
of Hamburg (UHH, groups of Prof. Dr. Gerkmann and Prof. Dr. Frintrop)
and the Technical University of Hamburg (TUHH, groups of Prof. Dr. Knopp
and Prof. Dr. Schlaefer). A goal of the project is to develop algorithms
to analyze images and other sensor information obtained from mobile
robots or medical measuring devices in order to determine the parts
which are most promising for further analysis. This enables to
prioritize the data processing in order to efficiently utilize computing
and time resources.The research in our group will focus on the computer
vision aspects of the project, involving saliency detection, the
combination of vision data with other modalities such as audio or
medical data, probabilistic approaches for active vision, and deep
learning approaches in computer vision. Pre-knowledge in one or several
of these areas is an advantage but can also be obtained on the job.

  Your profile:


You should have a university degree in an appropriate area such as
computer science, engineering, physics, or mathematics and you should
have experience with image processing/computer vision. Knowledge of
machine learning, especially deep learning, is helpful.

You should have good programming skills, preferably in Python, C++, or
Matlab. Knowledge of the image processing library OpenCV and of Deep
Learning libraries such as Tensorflow or Caffe is helpful.

Good knowledge of English (spoken and written) and good communication
skills are essential, knowledge of the German language or the
willingness to learn German will help you to enjoy your stay better. If
you are also curious, motivated, and communicative, willing to
continuously learn and improve your skills, you are a perfect candidate
to join our team.

  Our offer:


- 3 year full-time position (part-time work is possible (but at least 50%))

- payment according to the German Public Service Scale TV-L 13- the
opportunity to work on interesting state-of-the-art research topics
according to international standards together with experienced researchers
- a pleasant working environment and a great team
- a lot of room for your own ideas

- Starting date: as soon as possible



Hamburg, the second largest city in Germany, is one of the most livable
cities in the world
It has a beach right in the city, a famous harbor, many green recreation
areas, more bridges than Venice and Amsterdam together, and a nightlife
that’s among Europe’s best. The University of Hamburg (UHH) is the
largest university in Northern Germany and frequently cited ranking
systems place it among the top 1% of global universities. The city of
Hamburg is currently investing 23M Euro for expanding the computer
science departments in Hamburg within the platform ahoi.digital which
also funds the here announced project.

The University aims to increase the number of women in research and
teaching and explicitly encourages women to apply. Equally qualified
female applicants will receive preference in accordance with the Hamburg
Equality Act (Hamburgisches Gleichstellungsgesetz, HmbGleiG).

Severely disabled applicants will receive preference over equally
qualified non-disabled applicants.

Please send your electronic application in a SINGLE PDF DOCUMENT
(including a detailed CV, a certificate of your latest degree including
grades, a pdf of your master thesis (postdocs: PhD thesis), and if you
have already published research articles: your publication list and a
pdf of your best article) to Kerstin Diop:
[hidden email] <mailto:[hidden email]>.
The subject in the email shall start with "APPLICATION". The closing
date for applications is January 14th, 2018.

Best regards,

Simone Frintrop
(Professor for Computer Vision at UHH)

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