Overview
For Students
Teaching and Research
profile logo default

University College Lillebaelt

Odense, Denmark
  • About
  • Rankings
  • Impact Rankings
  • Key stats
  • Jobs
  • Subjects
  • Downloads
  • FAQs
  • Suggested universities

Discover similar universities

Find out more about studying, research and jobs at these universities

the colour logo

suggested

Jobs you might be interested in

You may want to explore jobs from other universities which are relevant to you

See all

CBS - Postdoctoral Fellow in Applied Microbiology and Bioprocess

MOHAMMED VI POLYTECHNIC UNIVERSITY

Mohammed VI Polytechnic University

Morocco

institution

Mohammed VI Polytechnic University

Morocco


Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields. The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco's frontline position in these fields, in a unique partnership-based approach and boosting skills training relevant for the future of Africa. Located in the municipality of Benguerir, in the very heart of the Green City, Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally. Mohammed VI Polytechnic University The Chemical & Biochemical Sciences department (CBS). Job Title: Postdoctoral positions Job description: The Chemical & Biochemical Sciences department (CBS) at Mohammed VI Polytechnic University is currently offering an opportunity for a full-time Postdoc in the field of applied microbiology and Bioprocess. We are currently looking for highly motivated candidates with a strong background in biochemistry, bioprocessing, and applied microbiology. Additionally, candidates should be knowledgeable in molecular biology and chemical analysis. Proficiency in biostatistics is very desirable. The postdoctoral fellow will play an integral role within our dynamic, multidisciplinary team dedicated to waste valorization and the production of high-value compounds. To qualify for this position, candidates should have a Ph.D degree in a related discipline, and a track record of publications in peer-reviewed journals. The selected candidate will work closely with our team of researchers, doctoral and master's students, as well as technicians, contributing to cutting-edge research in our department. Main Responsibilities: The Postdoctoral Fellows will collaborate with the research team to plan, execute, and analyze research activities and experiments, therefore, contributing to the advancement of knowledge in their field. They will prepare detailed technical reports summarizing techniques and methodologies, results, and conclusions. Additionally, they will mentor and supervise both graduate and undergraduate students, aiding in their academic and research progress. Furthermore, they will publish research findings in high-impact peer-reviewed journals, sharing knowledge to the global scientific community. Criteria of the candidate: To be considered for this position, candidates should meet the following criteria: Recent PhD: Hold a Ph.D. earned within the last five years in Microbiology, Bioprocess, Environmental Biotechnology, or a related field, demonstrating a commitment to cutting-edge research. Expertise: Possess a strong academic background in applied microbiology, Phycology, and Biochemistry, highlighting your knowledge and skills in these disciplines. Analytical Proficiency: Demonstrate proficiency in biostatistics, and physicochemical and analytical methods. Research Excellence: Highlight your ability to plan and execute experimental trials, as well as your success in disseminating research findings through peer-reviewed scientific journals. Teamwork and Problem Solving: Exhibit an aptitude for collaborative work and problem- solving, which are essential for effective contributions to research teams. Language Skills: Possess excellent proficiency in English as a primary language of communication, with an understanding of French being a desirable additional skill. Applications and selection procedure: Cover Letter: Submit a cover letter that clearly specifies the position you are applying for and outlines your primary research interests. Comprehensive CV: Include a detailed Curriculum Vitae (CV) that highlights your academic and professional background, research experience, and relevant qualifications. Research Statement: Provide a concise research statement that summarizes your research goals and objectives, demonstrating your alignment with the position and the department's research priorities. Publication Table: Present a table listing your indexed publications, arranged in descending order from the most recent to the oldest. Include information about your authorship position (e.g., First position) and provide the following details for each publication: Journal Name (e.g., Sci. Total Environ.); Journal Quartile (e.g., Q1); Journal I-F (e.g., FI2022 = 10.9); H-Index (e.g., H = 317); Publisher (e.g., Elsevier) and the Digital Object Identifier (DOI). References: Include the contact information for three professional references who can vouch for your qualifications and potential as a researcher

Salary

Competitive

Posted

13 Mar 2026

ACER CoE - Postdoctoral Researcher in Chemical Engineer (Adsorption/Membranes)

MOHAMMED VI POLYTECHNIC UNIVERSITY

Mohammed VI Polytechnic University

Morocco

institution

Mohammed VI Polytechnic University

Morocco


Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco's frontline position in these fields, in a unique partnership-based approach and boosting skills training relevant for the future of Africa. Located in the municipality of Benguerir, in the very heart of the Green City, Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally. About ACER CoE: The centre has been recently created to address enduring process challenges in Chemistry and Engineering disciplines and create an environment for interdisciplinary research. The research program of ACER is multidisciplinary, with faculty members from backgrounds in Chemistry, Chemical Engineering, and Environmental Engineering focusing on different research fields such as catalysis, separation, energy generation, conversion and storage, and organic optoelectronics intelligent and advanced polymers and materials. Job description: The successful candidate will: Conduct original and high-quality research in adsorption-based separation and/or membrane technology. Develop novel adsorbents and/or membranes for gas or liquid storage and separation applications. Characterize adsorption and transport properties using advanced analytical techniques. Prepare high-impact research papers for publication in leading peer-reviewed journals and present findings at international conferences, workshops, and meetings. Collaborate with multidisciplinary teams and engage in knowledge exchange with industry and academic partners. Contribute to the preparation of research proposals for external funding. Support the supervision of graduate students and assist in guiding their research projects. Assist in the development of undergraduate and postgraduate courses and modules. Facilitate the acquisition of necessary laboratory equipment and interact with international suppliers when required. Candidate Profile: The ideal candidate should have a strong background in Chemical Engineering, Materials Science, or a related field with expertise in adsorption and/or membrane-based separation technologies. The following qualifications and skills are expected: PhD in Chemical Engineering, Materials Science, Chemistry, or a related field. Expertise in adsorption or membrane-based separation technologies (e.g., gas separation, water treatment, or CO₂ capture). Strong knowledge of adsorption isotherm models, mass transport mechanisms, and surface chemistry. Experience in synthesis, functionalization, and characterization of adsorbents or membranes. Proficiency in advanced characterization techniques, such as BET, FTIR, XRD, SEM, TEM, TGA, ICP, and gas sorption analysis. Good understanding of process design for adsorption or membrane-based separation. Strong track record of publications in reputable peer-reviewed journals. Excellent communication skills (oral and written) in English. Ability to work independently as well as in a multidisciplinary research team. Prior experience in student supervision and research coordination is a plus.  Candidature Submission: Applicants should submit the following documents: Cover letter outlining research experience, achievements, and future research interests. Curriculum Vitae (CV) detailing academic and research experience. List of publications in peer-reviewed journals. Contact information of three referees (who are not current UM6P faculty). Recommendation letters (if available).

Salary

Competitive

Posted

13 Mar 2026

COLCOM - Postdoc Position in WSN and IoT

MOHAMMED VI POLYTECHNIC UNIVERSITY

Mohammed VI Polytechnic University

Morocco

institution

Mohammed VI Polytechnic University

Morocco


Located at the heart of the future Green City of Benguerir, Mohammed VI Polytechnic University (UM6P), a higher education institution with an international standard, is established to serve Morocco and the African continent. Its vision is honed around research and innovation at the service of education and development. With its state-of-the-art campus and infrastructure, this unique nascent university has woven a sound academic and research network, and its recruitment process is seeking high-quality academics and professionals to boost its quality-oriented research environment in the metropolitan area of Marrakech. The College of Computing at Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco, seeks a postdoctoral candidate in wireless sensor networks and the Internet of Things. The successful candidate will join the group of Prof. Youssef Iraqi.  Context Wireless sensor networks (WSNs) and Internet-of-Things (IoT) are among the leading enabling technologies for smart systems (transportation, farming, health, etc.). Therefore, WSNs/IoT have received enormous attention where various communications-related performance metrics were considered, such as reliability, connectivity, throughput, delay, network lifetime, power efficiency, and security. In the literature, WSN design is typically optimized to maximize/minimize one or more of the abovementioned metrics under certain constraints. However, very little work has been performed on system/network optimization while considering the communications requirements jointly with the decision fusion process. This approach will produce novel system, network, and signal designs. Consequently, the project's main objective is to jointly consider communication and data fusion requirements in designing an efficient WSN-IoT system/network. Responsibilities The successful candidate is expected to perform the following tasks: Conduct literature reviews and surveys on the subject. Contribute to developing novel communication designs to optimize the WSN-IoT system/network considering communication and data fusion requirements. Conduct a theoretical analysis of the developed designs. Develop simulations (writing code) to support the theoretical findings. Disseminate results through scientific publications in peer-reviewed journals. Write technical reports according to the project’s deliverables. Assist in the supervision of undergraduate and Ph.D. students. Assist in the preparation of new research proposals. Collaborate with the team members and international academic partners. Qualifications Ph.D. in communications engineering, computer science/engineering, or related fields. Sound publication record in high-impact conferences/journals. Experience in working as a member of a team in a collaborative environment. Strong mathematical and analytical skills. Strong technical background in optimization in wireless communications/networking. Experience with programming languages, especially MATLAB and Python. Excellent written and verbal communication skills in English. Application Applications should be submitted online and through email as a zipped file containing the following information: A cover page. A detailed CV with a list of publications. A research statement. Name and contact information of two references. The email should be sent to Youssef.Iraqi@um6p.ma with the subject “[Postdoc position + candidate’s first and last name].” Shortlisted candidates will be invited for an Interview. For general information or information on the position, please contact Prof. Youssef Iraqi: Youssef.Iraqi@um6p.ma

Salary

Competitive

Posted

13 Mar 2026

CBS - Postdoctoral Researcher on the OX-ZEO Process for Converting Biogas into Synthetic Fuel Field

MOHAMMED VI POLYTECHNIC UNIVERSITY

Mohammed VI Polytechnic University

Morocco

institution

Mohammed VI Polytechnic University

Morocco


Postdoctoral Researcher on the OX-ZEO Process for Converting Biogas into Synthetic Fuel Field of Specialization: Education and Research (CBS) Profile: Multidisciplinary background with specialization in catalytic processes Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself among world renowned universities in its fields The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco's frontline position in these fields, n’ a unique partnership-based approach and boosting skills training relevant for the future of Africa. Located in the municipality of Benguerir, n the very heart of the Green City, Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally. Job Description: The Department of Chemical & Biochemical Sciences (CBS), Green Process Engineering at Mohammed VI Polytechnic University, is seeking a Postdoctoral Researcher specializing in heterogeneous catalysis. The candidate’s research activities will focus on the development of bifunctional catalysts for the conversion of biogas into high-value-added molecules. This position requires expertise in the synthesis of materials with controlled porosity and mixed oxides. The work will involve process optimization, and experience with fixed-bed catalytic reactors (gas/solid, continuous flow, high temperature) is highly desirable. Knowledge of gas-phase product analysis using micro-GC and FTIR is also required, along with general experience in materials synthesis. Main Responsibilities: The selected candidate will be expected to: Design, implement, and validate an experimental catalytic testing setup. Conduct conversion measurements at both laboratory and pilot/industrial scale. Synthesize and develop new catalytic materials. Characterize catalysts before and after reaction. Prepare technical reports and scientific publications. Candidate Profile: Hold a doctoral degree (PhD) in catalytic processes or an equivalent field. Have relevant experience in performing catalytic tests. Demonstrate expertise in gas-phase product analysis using chromatographic techniques and FTIR. Be able to develop solid materials evaluation processes. Be capable of preparing scientific reports. Show aptitude for teamwork. Have a good command of English. Skills: Research Skills: Strong foundational knowledge in heterogeneous catalysis. Proficiency in analytical techniques, including chromatographic methods and FTIR. Expertise in catalytic materials characterization. Understanding of chemical kinetics.

Salary

Competitive

Posted

13 Mar 2026

VANGUARD - Postdoc in Network Tensor Completion

MOHAMMED VI POLYTECHNIC UNIVERSITY

Mohammed VI Polytechnic University

Morocco

institution

Mohammed VI Polytechnic University

Morocco


About Mohammed VI Polytechnic University (UM6P): Located at the heart of the Green City of Benguerir, Mohammed VI Polytechnic University (UM6P), a higher education institution with an international standard, was established to serve Morocco and the African continent and to advance applied research and innovation. This unique university, with state-of-the-art infrastructure, has woven an extensive academic and research network, and its recruitment process is seeking outstanding academics and professionals to promote Morocco and Africa’s innovation ecosystem. About the department Vanguard works on the development of innovative and interdisciplinary applied research projects. From technological innovation to the transfer of research to industry, Vanguard has also the mission of developing an ecosystem of related start-ups. For more information about our Center, please visit our webpage: https://vanguard.um6p.ma/ Offer description: There are many systems of interest to scientists that are composed of individual parts or components linked together in some way. Examples include the Internet, a collection of computers linked by data connections, human societies, which are collections of people linked by acquaintance or social interaction, transportation systems and biological interactions. These systems are represented as networks. A network is a set of objects that are connected to each other in some fashion. Mathematically, a network is represented by a graph, which is a collection of nodes that are connected to each other by edges. The nodes represent the objects of the network and the edges represent relationships between objects. A common way to represent a graph is to use the adjacency matrix associated with the graph. However, adjacency matrices only model networks with one kind of objects or relations between the objects. Many real world networks have a multidimensional nature such as networks that contain multiple connections. For instance, transport networks in a country when considering different means of transportation. The train and bus routes are different types of connections and should in some models be represented by different kinds of edges. These kind of situations can be modeled using multilayer networks which emphasize the different kind or levels, known as layers, of connections between the elements of the network and the interactions between these levels as well. In order to capture the structure and complexity of relationships between the nodes of networks with a mul-tidimensional nature, tensors are used to represent these kind of networks. For example, the transport network mentioned earlier would be represented by a 4th order tensor A 2RN_L_N_L  where L is the number of the layers (transportation means) and N is the number of nodes (stations or stops). Using convenient tensor products, the goal is to define measures to analyze different multidimensional networks based on their adjacency tensors. However, collecting all the interactions in the systems and sometimes even observing all the components is a challenging task. In most cases, only a sample of a network is observed. Therefore, network completion needs to be addressed. Matrix completion methods have proved to be efficient when reconstructing a non fully observed data. These methods can be applied to complete or predict links in a network. However, missing information in a network can include both missing edges and nodes which makes classical matrix completion method insufficient. However,we may collect other information and features about the elements of the network. Therefore, side information about the nodes along with the observed edges need to be exploited. The problem of network completion arrises also for applications where the network has a multidimensional representation such as multiplexes and multilayer networks. Since multidimensional networks can be represented by tensors, one can think of applying tensor completion methods which have proved to be efficient in many applications such as image and video reconstruction. However, the same issue arises, tensor completion methods can not be directly applied to recover the links of the network giving the fact that the data is sparse most of the time. We aim to use auxiliary information about the multiplex and multilayer networks alongside with the observed links in order to predict or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor minimization and tensor decompositions paired with auxiliary information in order to recover missing links in a multilayer network with connected components. An important constraint in network completion is that the factorization must only capture the non zero entries of the tensor. The remaining entries are treated as missing values, not actual zeros as is often the case in sparse tensor and matrix operations. Therefore, the next step in this project is to address sparse optimization for tensors. We propose the integration of randomized algorithms into sparse optimization frameworks for the purpose of completing multidimensional networks by studying the theoretical foundations behind randomized algorithms in the context of sparse optimization and applications in real world data sets. We are also interested in exploring opportunities for  parallelism of the completion process, highlighting the potential for significant speedup in computations. Job responsibilities Research and Development: Conduct research to develop novel algorithms and methodologies for tensor completion in multidimensional networks. This includes exploring optimization techniques, tensor decompositions, and incorporating auxiliary information for more accurate completion. Algorithm Design: Design and implement algorithms for tensor completion, considering the unique challenges posed by sparse and multidimensional network data. This involves developing efficient and scalable algorithms that can handle large-scale datasets. Tensor Analysis: Analyze the structure and properties of multidimensional networks represented as tensors. Investigate different measures and metrics for characterizing network connectivity and relationships. Sparse Optimization: Address the challenge of sparse optimization for tensors by integrating randomized algorithms into optimization frameworks. Study the theoretical foundations of randomized algorithms in the context of sparse tensor operations and apply them to real-world datasets. Parallel Computing: Explore opportunities for parallelism in the tensor completion process to enhance computational efficiency. Investigate parallel algorithms and architectures that can exploit the inherent parallelism in tensor operations. Collaboration: Collaborate with interdisciplinary teams including computer scientists, statisticians, and domain experts to apply tensor completion techniques to real-world applications, especially in the case of social sciences. This involves effective communication and coordination to ensure the successful integration of mathematical methods into practical systems. Publication and Dissemination: Publish research findings in top-tier journals and present results at conferences and workshops. Disseminate knowledge and contribute to the academic community by sharing insights and methodologies developed during the course of the project. Mentorship and Training: Provide mentorship and guidance to graduate students and junior researchers involved in related projects. Share expertise and knowledge in applied mathematics, tensor analysis, and network science to foster the professional development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields of Numerical Linear Algebra, or equivalent. Prior experience on the subject is highly desired.

Salary

Competitive

Posted

13 Mar 2026

lightbulb up

Do you work for this institution?

Make your university stand out by adding more stats, events and more.