Associate Professor/Professor in Ruminant metabolism and feed evaluation 

About the position​ At the Department of Plant Sciences, Faculty of Biosciences, there is a vacancy for a 100% permanent position as Associate Professor in Sustainable Crop Production, with a focus on grain and seed crops. We are seeking a dedicated researcher and educator who will help shape the next generation of Norwegian agronomists and strengthen our research portfolio in modern, technology-driven crop production. The position includes responsibilities in teaching as well as basic and applied research. Familiarity with Nordic grain and seed production systems is essential. Expertise in precision agriculture and digital tools for crop management will be considered an advantage. We expect you to take a central role in renewing and expanding our teaching in central crop production courses and to actively contribute to the further development of our plant science study program. A strong interest in integrating agronomy with technology — including precision agriculture, sensor-based field management, and data-driven decision support — is highly valued. You will help position NMBU as a national leader in agricultural technology and precision agriculture in both teaching and research. You are expected to develop and lead an internationally visible research program on sustainable production of grain and seed crops, and to demonstrate the ability to attract competitive external funding from national and international sources. The position requires strong collaborative skills and the capacity to build partnerships with the Norwegian agricultural industry, the institutional research sector, public authorities, and farmer organizations. Interdisciplinary engagement across IPV, BIOVIT, and other faculties at NMBU is a natural part of the role, and we particularly welcome ideas for joint course and project development with the Department of Animal Sciences and others working at the interface of plant production, technology, and data science. You will supervise PhD, master's, and bachelor's students, and contribute to teaching at all levels. Demonstrated teaching expertise and the ability to integrate research into teaching are essential. We are proud to have Norway's most satisfied university students, and we are looking for candidates who share our commitment to innovative teaching methods, student-active learning, and lifelong learning. The position also includes administrative tasks and contributions to shared responsibilities at the faculty. Take the opportunity to help modernize crop science teaching and research at NMBU, and to shape sustainable grain and seed production for Norwegian agriculture. We look forward to welcoming you to our team. Main tasks​ • Conduct science of high, international standard • Attract national and international funding for basic and applied research • Lead and participate in research projects • Network and collaborate within and outside NMBU • Publish regularly in peer-reviewed international journals • Contribute to profiling the research group as a prominent actor within sustainable crop production • Teach courses in our study portfolio, both general and more specialized subjects • Development of new courses and study programs, including online courses for the continuing education market • Supervision of PhD, master and bachelor students • Contribute to the strategic development of the research group, department, and faculty • Administrative tasks and other joint tasks at the faculty in collaboration with colleagues and students Competence​ All qualifications below are required for the position, unless it is specified that they are considered an advantage.​ 1) Academic qualifications:​ • Ph.D. in Crop Science, Plant Science, Agronomy, or fields related to the described position • Ability to develop and lead internationally recognized research within the subject area • Competence and experience within grain and/or seed crop production systems • Experience in planning and conducting field experiments and/or applied research with grain and seed crops • Documented research output / publication record such as international peer-reviewed publications in relevant scientific journals, books, and research reports within the research area • Experience with research processes, including international research collaboration and externally funded research • Research leadership experience is considered an advantage • Competence and experience in precision agriculture, digital tools, or data-driven approaches to crop management is considered an advantage • Experience with research relevant to Nordic agricultural conditions is considered an advantage • Excellent communication skills, both to the scientific community and to a broader community 2) Educational qualifications (documented)​ • Pedagogical education, completed separate program at minimum 200 hours* • Teaching experience from higher education • Breadth or variety of educational experience, such as teaching at different academic levels • Supervision experience • Basic teaching skills in planning, implementing, evaluating and developing teaching and supervision • Experience with educational leadership is considered an advantage *Those who do not meet the pedagogical requirements at the time of employment shall be required to meet them within two years of employment. 3) Applied knowledge, among others​ • Experience with dissemination is considered an advantage • Experience with industry collaboration is considered an advantage 4) Management, committees and boards and administration, among others​ • Experience with management, committees and boards and administration is considered an advantage 5) Special qualifications, among others​ • Good written and oral communication skills in Norwegian (or another Scandinavian language) and English is a prerequisite for performing the duties of the position. Personal qualities, among others​ • Excellent written and verbal communication skills. • Outstanding collaborative and communicative skills. • Strong, professional commitment to excellence in teaching • Ability to realize scientific synergies between individual researchers and research groups • Strong potential for independent thinking displaying initiative and careful creative thought. • Experience with building and maintaining a productive and energized research group. Remuneration and further information​ The position is placed in position code 1011 Associate Professor (NOK 720 000 – 1 100 000) depending on qualifications. For particularly well-qualified applicants, a higher salary may be considered. Seniority promotion in the position. Interested in learning more about the position? We are happy to tell you more about life on campus. Contact Head of Department Marian Schubert, (e-mail: marian.schubert@nmbu.no). General information for applicants NMBU wants more women in permanent academic positions. Women are therefore encouraged to apply. Application​ Send application electronically via the link "Apply for this job" at the top of this page. Application Deadline: 10.08.2026​ Your CV must be entered in Jobbnorge's CV form and not just included as an attachment. This is in order to be able to comply with the regulations in the Public Administration Act §15. NMBU has developed a matrix for assessing qualifications, which provides examples of results/competence, documentation, and reflection for all areas of the competence profile. We encourage you to familiarize yourself with the matrix and use it when applying for the position. See this page for more information on how to document your qualifications and write a reflection note. The following must be included in the application:​ • Short application text about your motivation • Reflective statement (3–6 pages) addressing your reflections on the requirements of the position (see the job advertisement) • Academic CV, diplomas and certificates • Completed template for documentation of competence, link to template here • List of publications. Attach up to 15 scientific works that, according to assessment, are central to the production. If it is difficult to identify personal efforts in joint work, a brief account of your part of the work must be attached. Documents that cannot be sent electronically are sent in triplicate by ordinary mail marked position no. 26/05609 to NMBU, Faculty of Names, P.O. Box 5003, NO-1432 Ås, within 10.08.2026. Please note that the report from the expert committee will be sent to all applicants. About The Faculty of Biosciences​ The Faculty of Biosciences (BIOVIT) is dedicated to generating knowledge that supports a sustainable future for food systems and bioproduction, with a strong focus on biology, animal- and plant sciences and aquaculture. We have a large portfolio of basic and applied research projects supported by state-of-the-art facilities and research infrastructure. Our 200 staff members and 600 students, including 80 PhDs, undertake a range of projects and courses that are closely integrated with our research. In this thriving environment, we educate and train the next generation experts to solve current and future societal challenges connected to food production and climate change.

About the position​ The Department of Data Science at Norwegian University of Life Sciences (NMBU), within the Faculty of Science and Technology(REALTEK), invites applications for a PhD position in Applied Causal Machine Learning. The position is affiliated with aiD, one of Norway’s national AI research centers focused on trustworthy, data-driven AI systems for critical industries. The PhD position is for a period of 3 years, with a desired start date of 1st of October 2026. aiD is a national flagship AI centre established to develop AI systems that humans can audit, understand, and trust. The centre works with applications in domains such as energy systems, health and medicine, logistics, infrastructure, and industrial operations. The PhD project will focus on the intersection of machine learning, causal inference, and classical statistical methods. A central objective is to develop methods that move beyond correlation-based prediction toward causal reasoning, intervention-aware modelling, and interpretable AI systems. This transition from correlation to causation is considered a key challenge for trustworthy AI, particularly in settings where models support actions, interventions, and high-stakes decision-making. The candidate will work in an interdisciplinary and collaborative research environment with opportunities for collaboration across academia and industry partners nationally and internationally Main tasks​ • Pursue and complete doctoral training leading to the award of a PhD degree. • Undertake innovative and rigorous research on causal machine learning. • Disseminate research outcomes through scholarly publications and public engagement activities. • Collaborate with researchers and practitioners through the aiD network and related national initiatives. • Contribute to the scientific development and collaborative activities of the Data Science research group. • Participate in international research collaborations, conferences, and academic exchange opportunities. The successful candidate is expected to enter a plan for the progress of the work towards a PhD degree during the first months of the appointment, with a view to completing a doctorate within the PhD contract period Competence​ Required qualifications​   • A Master's degree or equivalent in in statistics, machine learning, computer science, mathematics, physics, engineering, cybernetics, economics, data science, or a related field. Foreign degrees must correspond with the admission criteria for the PhD program. • In the Master’s degree, both the average grade point and grade on the Master’s thesis must be B or better in the Norwegian educational system. Applicants who have recently graduated with excellent results may be given preference. • Proficiency in both written and oral English in correspondence with the admission criteria for the PhD program. • Solid mathematics, including multi-dimensional calculus, linear algebra, probability theory, (Bayesian) statistics, optimization and elementary graph theory • Familiar with machine learning and deep learning • Programming experience (Python or Julia) and their ecosystems (numpy, scipy, matplotlib) • Strong analytical and quantitative skills • Personal suitability and motivation for the position.   Qualifications considered an advantage​   • Experience with research on causality • Experience with advanced Bayesian statistics, optimization or graph theory • Experience with modern DeepLearning • Domain knowledge in one or more application field of aiD Personal qualities​ • Curiosity • Ability to both work in groups and independent • Good collaboration skills and an ability to join interdisciplinary academic communities • Good communicative skills Remuneration and further information​ Salary in position as PhD Research Fellow, position code 1017, 550 800 NOK. For exceptionally well qualified candidates a higher salary may be considered. By applying, the candidate confirms that information and documentation submitted via the job application may also be used by NMBU in a possible admission process to the PhD program. Admission to a PhD program is a prerequisite for appointment to the PhD position. For professional and social interactions, the candidate is expected to be physically present at NMBU on a daily basis. Employment is to be made in accordance with Regulations to the Universities and University Colleges Act and Regulations for the PhD degree at the Norwegian University of Life Science (NMBU) , and in accordance with the Civil Servant Act, the Security Act, and the Export Control Act. For further information, please contact Associate Professor Alexander Stasik, (e-mail: alexander.johannes.stasik@nmbu.no). Application​ Send application electronically via the link "Apply for this job" at the top of this page. 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: 31.08.2026​ Your CV must be entered in Jobbnorge's CV form and not just included as an attachment. This is in order to be able to comply with the regulations to the Public Administration Act §15. Interviews with the best qualified candidates will be arranged. Applicants invited for an interview are expected to present original diplomas and certificates. The following documents must be attached to the application:   • Motivation letter • CV • Certified copies of relevant academic diplomas and certificates. Diplomas, transcripts and diploma supplements that are not in Norwegian or English must be uploaded in the original language. An English translation of these documents must also be attached. • Applicants from universities outside Norway are kindly requested to send a diploma supplement, or a similar document, which describes in detail the study program and grading system. • Documentation of proficiency in written and oral English in accordance with Forskrift for graden philosophiae doctor (ph.d.) ved Norges miljø- og biovitenskapelige universitet - Lovdata • Additional relevant documentation of professional knowledge (for example, list of scientific works). If it is difficult to judge the applicant’s contribution for publications with multiple authors, a short description of the applicant’s contribution must be included. About The Faculty of Science and Technology​ REALTEK is NMBU’s Faculty of Science and Technology, with strong interdisciplinary research environments spanning data science, machine learning, engineering, robotics, physics, mathematics, and sustainable technology development. The faculty emphasizes applied, solution-oriented research connected to societal and industrial challenges, particularly within sustainability, infrastructure, energy, and digital transformation. The Department of Data Science is one of Norway’s early dedicated academic environments in data science and applied machine learning. The department combines expertise in machine learning, statistical modelling, scientific computing, optimization, and data management, with close collaboration across engineering and applied sciences at NMBU. Research activities are strongly application-driven and connected to real-world domains including healthcare, environmental systems, robotics, industrial processes, and sensor data analytics. What is it really like to work at the Faculty of Science and Technology (REALTEK) at NMBU?