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:
 
  1. On-line hyperspectral X-Ray image analysis.  
  2. On-line analysis of large and parallel multivariate data streams (NIRS) 
  3. 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. 
SØG STILLINGEN

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.

Info

Ansøgningsfrist: 28-02-2019
Ansættelsesdato: 01-04-2019
Arbejdstid: Fuldtid
Afdeling/Sted: FOOD

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