Postdoc in Big Data and Machine Learning in Food Science and Food Processing Technology
Modern food
science and food processing generates gigantic amounts of continuously incoming
data that needs to be analyzed quickly and reliably. Current methods for data
analysis are challenged to the edge by this immense task. For this reason, DIKU
(Department of Computer Science), FOOD (Department of Food Science) at the
University of Copenhagen and FOSS Analytical (Hillerød) have decided to join
forces and invest in new groundbreaking research based on machine learning
methods to extract and explore
relevant information from continuously developing big data sets, starting with:
- On-line hyperspectral X-Ray image analysis.
- On-line analysis of large and parallel multivariate data streams (NIRS)
- Large scale metabolomics/foodomics cohorts using advanced multivariate analytical platforms
We seek an
entrepreneurial postdoc for a 3-year position who
has obtained a Ph.D. degree in data analysis from a computer science department
(or similar), and who has a genuine interest in developing new methods for data
processing, including exploration and regression of complex food related
systems. The candidate must have an academic experience including topics such
as:
- Image analysis methodologies
- Artificial intelligence
- Machine/deep learning
- Data streaming and storage
- Chemometrics
- Large-scale data analysis
The project is
collaboration between DIKU, FOOD, and FOSS Analytical A/S. FOSS Analytical A/S is
developing advanced analytical instruments for laboratory and process analytics
in the food and agricultural industry.
The postdoc’s duties will include research within big
data and machine learning in food science and food processing technology as
described above, as well as teaching. The post may also include performance of
other duties in the research groups. The postdoc will be hosted by FOOD, but it
is expected that the postdoc will share her/his working place amongst the three
stakeholders as appropriate for solving the challenges.
Further information on the Departments is linked at http://www.science.ku.dk/english/about-the-faculty/organisation/ Inquiries about the position can be
made to Associate Professor Klavs Martin Sørensen (kms@food.ku.dk ) or Professor Søren
Balling Engelsen (se@food.ku.dk ).
The position is
open from 1 April, 2019, or as soon as possible thereafter.
The
University wishes our staff to reflect the diversity
of society and thus welcomes applications from all qualified candidates
regardless of personal background.
Terms
of employment
The position is
covered by the Memorandum on Job Structure for Academic Staff.
Terms of
appointment and payment accord to the agreement between the Ministry of
Finance and The Danish Confederation of Professional Associations on Academics
in the State.
The starting
salary is currently up to DKK 426.625 including annual supplement (+ pension up
to DKK 72.952). Negotiation for salary supplement is possible.
The application,
in English, must be submitted electronically by clicking APPLY NOW below.
Please
include
- Curriculum vita
- Diplomas (Master and PhD degree or equivalent)
- Research plan – description of current and future research plans
- Complete publication list
- Separate reprints of 3 particularly relevant papers
The deadline for
applications is 28 February 2019, 23:59 GMT+1
After
the expiry of the deadline for applications, the authorized recruitment manager
selects applicants for assessment on the advice of the Interview Committee.
You can read about the recruitment process at http://employment.ku.dk/faculty/recruitment-process/
Interviews will be
in the beginning of March 2019.
Københavns Universitet giver sine knap 10.000 medarbejdere muligheder for at udnytte deres talent fuldt ud i et ambitiøst, uformelt miljø. Vi sikrer traditionsrige og moderne rammer om uddannelser og fri forskning på højt internationalt niveau. Vi søger svar og løsninger på fælles problemer og gør ny viden tilgængelig og nyttig for andre.