PhD fellowship in Quantitative 2D NMR Spectroscopy
Department of Food Science (Section of Food Analytics and Biotechnology) is offering a PhD scholarship in Quantitative 2D NMR Spectroscopy. The project is part of the research project “Learning to EXplore the 2nd Order Advantage of 2D NMR (LEX2)”, which is financed by Danmarks Frie Forskningsfond. Start date is (expected to be) 01.01.2023 or as soon as possible thereafter.
Department of Food Science is internationally recognized for excellence in food science research and education, strong industrial collaboration and with a vibrant international environment, where English is the primary working language. The Department has the mission to contribute with new fundamental knowledge and innovative solutions for society and industry in order to support sustainable food production, food security and safety, as well as production of consumer attractive, palatable and high-quality novel foods promoting human health and well-being. We are characterized by a high involvement in interdisciplinary research at both international and national levels.
Further information about the Department can be found at https://www.food.ku.dk/english/.
The candidate will work on the LEX2 project which is made in collaboration with The Technical University (DTU compute). The project aim at project developing 2D NMR acquisition tools and corresponding state of the art data methods for solving fundamental problems in metabolomics/foodomics such as signal overlaps, alignment and ambigious interpretation. The project will thereby develop novel computational tools that can move the state of the art NMR based foodomics and metabolomics research to a new level providing an unambiguous and in-depth identification and more reliable quantification of metabolites in biological samples. The project will explore advanced tensor decomposition methods for ultra-fast 2D NMR measurements for high throughput NMR analysis of complex food and biological samples. The project will be executed in collaboration with Prof. Morten Mørup the Section for Cognitive Systems, DTU Compute.
Who are we looking for?
We are looking for a candidate within the field of food and biological sciences (foodomics and metabolomics) who is interested in solving complex analytical problems. The candidate must have a background in analytical chemistry and/or NMR spectroscopy with an interest in working with multivariate data analytical methods.
Our group and research- and what do we offer?
The PhD position is in the Foodomics research group which is a part of Department of Food Science, Faculty of SCIENCE, University of Copenhagen. We are located in Copenhagen. Both salary and working conditions are excellent. Copenhagen is often named as the best city in the world to live, and for good reasons. It's world renowned for food, beer, art, music, architecture, the Scandinavian "hygge", and much more. Parental leave is generous and child-care is excellent and cheap.
The Foodomics group offer a creative and stimulating working conditions in dynamic and international research environment. The group is a down-to-earth and fun place to be. Our research facilities include modern spectroscopy laboratories which include three high resolution NMR spectrometers.
Principal supervisor is Professor Søren Balling Engelsen, Department of Food Science, firstname.lastname@example.org , Direct Phone: +45 20200064.
The PhD programme
A three year full-time study within the framework of the regular PhD programme (5+3 scheme), if you already have an education equivalent to a relevant Danish master’s degree.
Qualifications needed for the regular programme
To be eligible for the regular PhD programme, you must have completed a degree programme, equivalent to a Danish master’s degree (180 ECTS/3 FTE BSc + 120 ECTS/2 FTE MSc) related to the subject area of the project, e.g. NMR spectroscopy, Analytical Chemistry, Bioinformatics or Food Science. For information of eligibility of completed programmes, see General assessments for specific countries and Assessment database.
Terms of employment in the regular programme
Employment as PhD fellow is full time and for maximum 3 years.
Employment is conditional upon your successful enrolment as a PhD student at the PhD School at the Faculty of SCIENCE, University of Copenhagen. This requires submission and acceptance of an application for the specific project formulated by the applicant.
Terms of appointment and payment accord to the agreement between the Danish Ministry of Taxation and The Danish Confederation of Professional Associations on Academics in the State. The position is covered by the Protocol on Job Structure.
Responsibilities and tasks in the PhD programme
- Complete and pass the MSc education in accordance with the curriculum of the MSc programme
(ONLY when you are attending the integrated MSc and PhD programme)
- Carry through an independent research project under supervision
- Complete PhD courses corresponding to approx. 30 ECTS / ½ FTE
- Participate in active research environments, including a stay at another research institution, preferably abroad
- Teaching and knowledge dissemination activities
- Write scientific papers aimed at high-impact journals
- Write and defend a PhD thesis on the basis of your project
We are looking for the following qualifications:
- Professional qualifications relevant to the PhD project
- Relevant publications
- Relevant work experience
- Other relevant professional activities
- Curious mind-set with a strong interest in NMR spectroscopy and metabolomics/foodomics
- Good language skills
Application and Assessment Procedure
Your application including all attachments must be in English and submitted electronically by clicking APPLY NOW below.
- Motivated letter of application (max. one page)
- Your motivation for applying for the specific PhD project
- Curriculum vitae including information about your education, experience, language skills and other skills relevant for the position
- Original diplomas for Bachelor of Science or Master of Science and transcript of records in the original language, including an authorized English translation if issued in another language than English or Danish. If not completed, a certified/signed copy of a recent transcript of records or a written statement from the institution or supervisor is accepted.
- Publication list (if possible)
- Reference letters (if available)
The deadline for applications is 1 November 2022, 23:59 GMT +1.
We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements.
The further process
After deadline, a number of applicants will be selected for academic assessment by an unbiased expert assessor. You are notified, whether you will be passed for assessment.
The assessor will assess the qualifications and experience of the shortlisted applicants with respect to the above mentioned research area, techniques, skills and other requirements. The assessor will conclude whether each applicant is qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/.
Interviews with selected candidates are expected to be held in week 47
For specific information about the PhD fellowship, please contact the principal supervisor.
General information about PhD study at the Faculty of SCIENCE is available at the PhD School’s website: https://www.science.ku.dk/phd/.
The University of Copenhagen wishes to reflect the surrounding community and invites all regardless of personal background to apply for the position.
Part of the International Alliance of Research Universities (IARU), and among Europe’s top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career.