[GeoIT.org] Job Offer: Deep Learning Engineer (m/f/d, up to 100%)- HeiGIT.org - Heidelberg - Germany

[Alexander Zipf]

  Job Offer: Deep Learning Engineer
  (m/f/d, up to 100%) HeiGIT.org - Heidelberg - Germany

Are you a highly motivated individual who loves designing and developing 
machine learning and deep learning systems? Do you want to use your 
machine learning expertise for the benefit of society and the 
environment? Do you want to improve the availability and quality of 
geospatial data and further develop geoinformatics methods used for 
open, non-profit applications in the field of sustainability, mobility 
and humanitarian aid? That’s our mission, too! We might have just 
the job for you.

*Deep Learning Engineer (m/f/d, up to 100%)*

HeiGIT gGmbH is a non-profit start-up aiming at technology transfer and 
applied research in the area of geoinformatics, especially in areas such 
as humanitarian aid or other non-profit goals for the benefit of society 
and the environment.

To this end, we are looking for a motivated and experienced Deep 
Learning Engineer to help create AI products for smart mobility, 
humanitarian aid, disaster management & other geospatial applications to 
support sustainability and climate action.

*Your tasks*are related to at least one of the following areas:

  * Designing and developing machine learning and deep learning systems
  * Exploring state-of-the-art model families and machine learning
    algorithms
  * Deep feature extraction using multi-modal data including satellite
    imagery, OSM data etc.
  * Innovative use of advanced machine learning methods
  * Data fusion of heterogeneous data sources for geoinformation

Close collaboration and communication with team members & stakeholders 
is your favorite way of working. Your in-depth knowledge of your 
favorite language and tools will be valued, but you’ll also be expected 
to help with whatever the team needs to work towards its goal.

*Your Expertise*

  * Experience with computer vision and machine learning for Object
    Detection, Instance Segmentation tasks. Familiarity with latest DL
    Models like Transformers, Generative Models etc. is beneficial.
  * Strong foundations in probability, linear algebra and optimization
  * Hands-on experience in evaluating and developing new approaches from
    the literature and actively implementing new concepts
  * Hands-on working experience with anyone of the deep learning
    frameworks- TensorFlow, Pytorch, etc.
  * Quick prototyping skills in Python and coding
  * Good communication and collaboration skills
  * Interest in working at the interface between science and practical
    requirements with implementations for different user groups (e.g.
    requirements of aid organizations, environmental organizations,
    government agencies, citizens etc.).
  * Previous experience in working with spatial data is beneficial.
  * An above-average university degree in one of the subjects such as
    Geoinformatics, Computer Science, Geography, Mathematics, Physics or
    similar.
  * German language skills preferred, but English only possible.

*We offer *an attractive position in an interdisciplinary team in a 
highly dynamic and growing area. HeiGIT gGmbH is cooperating closely 
with the GIScience Research Group at Heidelberg University, which is 
member of the Interdisciplinary Center for Scientific Computing (IWR) 
and the Heidelberg Center for the Environment (HCE) at Heidelberg 
University. We offer a stimulating interdisciplinary research 
environment with many personal development opportunities. All HeiGIT 
employees can, in agreement with the rest of the team, work from home or 
remote up to half of their time.

HeiGIT receives core funding by the Klaus Tschira Foundation (KTS).

The position is to be filled as soon as possible and for administrative 
reasons initially limited to 2 years – with the option of sustainable 
extension. Please send your application including CV, certificates, 
references, etc. in digital form as PDF as soon as possible 
tomaria.martin at heigit.org.

Please note our data protection information 
(https://heigit.org/privacy-policy/data-protection-information-for-applicants/) 
for applicants.

https://heigit.org/job-offer-deep-learning-engineer-m-f-d-up-to-100/


-- 
GIScience Research Group Heidelberg University
http://uni-heidelberg.de/gis

Heidelberg Institute for Geoinformation Technology (HeiGIT gGmbH)
http://heigit.org  

https://twitter.com/GIScienceHD    
http://giscienceblog.uni-hd.de
https://scholar.google.com/citations?user=1TAZiPwAAAAJ
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