Associate Professor in Applied Mathematics, Optimization Norwegian University of Life Sciences, Faculty of Science and Technology Norway

Global challenges regarding energy and climate change, the environment, health, food safety, technology and renewable solutions, use and conservation of land and natural resources, and development of the bio-economy, requires greater effort. NMBU is well equipped to conduct further research in these fields. NMBU's expertise spans entire value chains and includes both basic and applied research.

 

On 1 January 2014, the Norwegian School of Veterinary Science and the University of Life Sciences merged and became –NMBU, the Norwegian University of Life Sciences. NMBU has 1700 employees and 5200 students, and is currently located on two campuses – Ås, about 30 km south of Oslo, and Adamstuen in Oslo. In 2020, the new research- and education-building for veterinary science will be completed and all of NMBU will then be located at Campus Ås.

 

Further information about NMBU is available on www.nmbu.no

 

Associate Professor in Applied Mathematics, Optimization - Ref.no 18/00589

 

The Faculty of Science and Technology at the Norwegian University of Life Sciences (NMBU) has a vacant permanent position as Associate professor in Applied Mathematics, optimization.

 

The Faculty of Science and Technology has 130 employees, about 1,100 students and about 60 PhD students. The Faculty offers bachelor, master and doctoral degrees in natural sciences and engineering in the fields of environmental physics and renewable energy, building and architecture, water and environmental technology, machine-, process and product development, geomatics and educational sciences. The workplace is in Ås, 30 km from Oslo.

 

The faculty is organized in divisions. All divisions, except Applied Mathematics, have master programs.  From August 2017, the faculty offers a new master program in data science. RealTek is responsible for teaching all the regular mathematics courses at NMBU. The curriculum consists of courses at the bachelor-, master- and Ph.D-level.
 

Tasks


The vacant position is affiliated with the division of Applied Mathematics. The successful candidate is expected to 
• teach mathematics courses at all levels 
• take active part in the development of the curriculum
• supervise master and Ph.D students in her /his specialty
• conduct mathematical research with national and international collaborators (cf.  section below)
• participate in and lead research projects and develop applications for external research funding 
• administrative tasks according to university regulations

 

Research


Mathematical modeling plays an important role in the exploration of complex biological and engineering systems. NMBU requires research competence in advanced mathematics and has a specific aim of developing teaching and research in mathematical modeling of biological and engineering processes. In line with this goal, RealTek seeks to hire an expert in applied and computational mathematics. Applicants with documented research in mathematical optimization will be given preference. We are seeking candidates who have experience with optimization problems arising within the following topics: dynamical systems, partial differential equations, numerical linear algebra, ill-posed problems, machine learning.

 

In order to complement and strengthen the mathematical foundation of the research and education at the faculty, the successful applicant is expected to work with applied topics associated with the master programs offered by RealTek.

 

Academic Qualifications 


Required qualifications
• A Ph.D degree in applied mathematics
• A publication record of papers published in mathematical journals
• Fluency in written and spoken Norwegian and English. A successful candidate who does not speak Norwegian, Swedish or Danish is obliged to learn Norwegian within 2 years.


Preferred qualifications


We will put emphasis on the following competences, in prioritized order, in the assessment of the applicants: 

1. Academic and applied experience with solving optimization problems.  
2. Mathematical knowledge about dynamical systems, partial differential equations, numerical linear algebra, ill-posed problems.
3. Expertise in machine learning, scientific computing and software development.
4. Experience with optimization from industry. 
5. Modeling of engineering, physical or biological systems.
6. Teaching and supervision experience. 
7. Ability to obtain research funds from external sources.

 

If the successful candidate does not have formal qualifications in pedagogics, she/he is obliged to take NMBUs course in university pedagogics within two years.

 

Personal qualities


We seek a highly motivated and competent candidate, with good communication and collaboration skills and a commitment to excellence in both research and education.

 

Further information


As an entry position into academia for young mathematicians, and following the definition of young researcher by the European Re-search Council, we welcome in particular researchers with 2-7 years of experience since completion of a PhD (with extensions for inter-ruptions due to longterm illness, maternity and other documented longterm events), and with a scientific track record showing great promise. Applicants who have graduated more than 7 years ago can also apply, but will not be favoured, if qualified young researchers will apply.


NMBU offers:
• An optimistic academic institution with focus on professional development, dissemination and competence.
• An interdisciplinary and inclusive environment that provides exciting research and development opportunities.
• Daily contact with inspiring students and skilled colleagues.
• Various welfare schemes.
• Beautiful surroundings just outside Oslo.


Remuneration 
The position is placed in government pay scale position code 1011 Associate Professor, wage framework 24, salary grade 61-74 (NOK 527 500 – 673 800), depending on qualifications. Seniority Promotion in position.

 

Further information 
For further information, please contact Professor  Arkadi Ponossov (head of division)  
E-mail: arkadi.ponossov@nmbu.no , phone +47 67 23 16 30


Application 


To apply online for this vacancy, please click on the 'Apply for this job' button above. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.
Application deadline: 14.03.2018.

 

Key publications 


Up to ten publications selected by the applicant as most relevant must be attached to the application. If it is difficult to identify the contribution of the applicant in multipleauthor publications, a short explanation about the applicant’s part of the work is suggested.

 

Printed material which cannot be sent electronically should be sent by surface mail to Norwegian University of Life Sciences, Faculty of Science and Technology, P.O. Box 5003, NO-1432 Ås, within 14.03.2018. Please quote reference number 18/00589

 

Verified testimo-nies, certificates 


Applicants invited for an interview will be asked to present verified copies of diplomas and certificates.

 

The position follows the Norwegian government pay scale A compulsory contribution of 2 % is made to the Norwegian Public Service Pension Fund. A good working environment is characterized by diversity. We encourage qualified candidates to apply, irrespective of gender, physical ability or cultural background. The workplace will if necessary be facilitated for persons with disabilities.

 

NMBU seeks to increase its number of female scientific employees. Women are particularly encouraged to apply. If a woman and a man are considered to have approximately equal qualifications, preference will be given to the female candidate.

 

A successful candidate who has full professorship competence can apply for promotion to full professor.

According to the Freedom of Information Act § 25 the list of applicants for this position may be made public irrespective of whether the applicant has requested that his/her name be withheld.


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