[robotics-worldwide] [jobs] Unique Senior Researcher Position at Örebro University (Senior AI/ML Expert)
The University of Örebro* seeks to appoint a full-time senior researcher with
established expertise in AI and Machine Learning.
Job description: This is a unique academic position. The appointed candidate
should hold a PhD or be near to completion. She or he will work closely together
with different research groups at Örebro University who represent specific
research problems and need AI/ML expertise in their projects . However, the
candidate is *not* expected to acquire external funding and will *not* have to
teach. Instead, she will act as AI/ML expert and interface to the technical
infrastructure. The position thus leaves room to keep in touch with current
AI/ML developments and admits improvement of specialist skills. While the
candidate will be of course included in all publications that result from the
collaboration with other researchers at Örebro University, it is optional to
pro-actively drive research or to develop an own research portfolio beyond her
Research environment: The position is jointly offered by three research
environments at Örebro University: AASS**, MTM/EnForce***, and MV****. AASS is
one of the nationally leading research groups in robotics, AI and applied
Machine Learning. MTM/EnForce also has a nationally strong position in
environmental chemistry and toxicology. The School of Medical Sciences (MV)
hosts several strong research environments (NGBI, iRiSC, CVRC) which, together
with the associated Functional Bioinformatics group, conduct research in
applying and further developing machine learning approaches for pattern
discovery in bio-medicine (biosignatures for diagnosis, prediction and
prognosis) as well as for systems for biological applications (network biology
and network medicine).
Prerequisites: We are looking for candidates who hold a PhD (or are near to
completion) who are excited about applying AI/Machine Learning techniques and
keen to have a strong, positive impact on the society. We envisage successful
candidates have a strong background in AI/Machine Learning, demonstrated by
their previous research work.
More information can be found in the full call linked below.