Hamburg University

*Ph.D. – **RESEARCH ASSOCIATE** (m/f/d)*
 
Full time, for a maximum of* 4 *years*. *The remuneration is in accordance
with *TV-L 13
<https://www.tuhh.de/t3resources/tuhh/img/universitaet/service/verwaltung/PV32/Entgelttabelle.pdf>.*
 
YOUR TASKS
 
 
– Fundamental research on topics related to the Institute for Data
Science Foundations
– Publication of research results in journals and at relevant computer
science / mathematics conferences
– Support of teaching activities and knowledge sharing tasks at the
Institute for Data Science Foundations

 

YOUR PROFILE
 
– Completed scientific university studies, in particular in the subject
area/s mathematics, computer science, or comparable
– Very good communication skills in English for publications, lectures
and project meetings
– Knowledge in relation to some of the following areas is an advantage:
o Data science
o Artificial intelligence
o Robotics o Machine learning (supervised learning, deep neural
networks, statistical learning theory, reinforcement learning)
o Mathematical background, for instance in: probability theory,
functional analysis, differential and/or algebraic geometry, information
theory, information geometry
– The following knowledge is an advantage:
o Experience in scientific writing
o Experience in Python programming

OUR OFFER
 
– We offer you the opportunity for scientific qualification with the aim
of a doctorate
– Become a member of the Institute for Data Science Foundations, and
benefit from excellent supervision and interdisciplinary exchange
– Integrate into an excellent research network with national and
international opportunities for collaboration
– Work in a motivated and interdisciplinary team, and develop your soft
skills

 

 

For further information please contact Prof. Dr. Nihat Ay, e-mail:
nihat.ay@tuhh.de or his assistant Ms. Sandra Krüger, e-mail:
sandra.krueger@tuhh.de.
 
We particularly encourage women to apply. Due to their underrepresentation,
they will be given priority in cases of equal suitability, qualifications
and professional performance.
 
Please send your complete application documents (cover letter, curriculum
vitae in table form, proof of completed training and/or university degree,
job references or certificates of employment) via the online application
system.
 
Notice for graduates of foreign educational qualifications: Please submit
proof of all obtained university degrees and, if available, the recognition
of your educational qualifications in Germany (e.g. anabin excerpts and/or
acknowledgement of previous employers).
 
We look forward to receiving your online application by* December 31st
2022.*
 
 
Position Description
<https://stellenportal.tuhh.de/jobposting/f9366b962b061a0b235d35bafd63eacccf5b0f430>
 
Please upload your application documents here
<https://stellenportal.tuhh.de/de/jobposting/f9366b962b061a0b235d35bafd63eacccf5b0f430/apply>
.
 
 
Kind regards
 
*Sandra Krüger*
 
*Assistant to Prof. Dr. **Nihat Ay*
 
*Institute for Data Science Foundations // E-21*
Hamburg University of Technology // TUHH
Hamburg Innovation Port // HIP ONE
 
Blohmstraße 15
5th floor
21079 Hamburg