Are you holding PhD degree and looking for Postdoctoral Fellowships? Norwegian University of Science and Technology (NTNU), Norway inviting application for multiple Postdoctoral Fellowships. Norwegian University of Science and Technology (NTNU) is one of the largest university in the world with thousands of employees, students, and research scientists are involved in the innovation of science and technology daily.
Norwegian University of Science and Technology (NTNU) has huge a campus in Norway and widely known as for its contribution in top notch education and research. The contribution of Norwegian University of Science and Technology (NTNU) is not only limited to natural sciences and engineering but it also offers high quality research as well as higher education in bio-medical sciences, social sciences, humanities, psychology, education, architecture etc..
1. Postdoctoral Fellow – Multiregional input-output model development and impact assessment
Summary of Postdoctoral Fellowship:
The Industrial Ecology Program (IndEcol), Department of Energy and Process Engineering (EPT) at the Norwegian University of Science and Technology (NTNU) is seeking a Post-Doctoral Scholar for the continued development, updating and scientific application of the environmentally extended multiregional input-output model EXIOBASE and the global life cycle impact assessment methodology LC-IMPACT. EXIOBASE and LC-IMPACT are two major pillars of the digital research infrastructure of the Industrial Ecology Programme as well as of the Industrial Ecology community (together over 80,000 downloads in the last years). The successful applicant will take responsibility for maintaining and extending this infrastructure, with a focus on Open Science/FAIR data and code management. The outcome of this process will be a fully automated, parallelized data pipeline integrated into the NTNU digital infrastructure (OpenStack and HPC cluster). Another major part of the work will be the further increase of the uptake of these databases through web-presence development, development and end-user focused software and workshops/presentations of these at relevant conferences.
Last Application Date: 12th October 2022
2. Postdoctoral Fellow in Political Science “Citizen Responses to European Union Communication”
Summary of Postdoctoral Fellowship:
At the Department of Sociology and Political Science (ISS), NTNU Trondheim there is a vacant temporary position as Postdoctoral Fellow in political science for a period of three years, with 67% research and 33% teaching obligation. The position is connected to the research group Elections, Values, and Political Communication The position is intended to engage in a research project on “Citizen Responses to European Union Communication”. European Union (EU) institutions are acutely aware that their legitimacy is precarious. Many citizens are skeptical toward the EU and oppose membership. EU institutions therefore invest a lot of resources into communication. Through communicative authority exercise, they try to bolster the EU’s legitimacy in the eyes of its citizens. The EU sends out daily press releases, reports to specific sectoral stake holders, its officials travel to all member states to engage with citizens, and every major EU institution and official has their own social media accounts, to reach out to citizens directly.
Last Application Date: Open Until Filled
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3. Postdoctoral Fellow in peace and conflict research
Summary of Postdoctoral Fellowship:
We have a vacancy for a postdoctoral fellow in political science for a period of two years, three years if teaching obligations is included for the position. The position is connected to the Department’s research on peace and conflict, and is designed to strengthen the research group in the area of understanding the onset, dynamics, and outcomes of violent and/or nonviolent forms of conflict. The postdoctoral fellowship position is a temporary position where the main goal is to qualify for work in senior academic positions. The postdoctoral fellow will join the Instability and Armed Conflict research group and is expected to contribute to the research profile and intellectual environment of the group by producing research work in the area of peace and conflict studies and participating in workshops and group seminars associated with the group. Candidates with a background in empirical peace and conflict research will be looked upon favorably. In addition, applicants with research profiles that connect broadly with the themes of ongoing projects within the research group, such as the ERC-funded “LEGACIES” project or the ARC project (arc-project.net) will be looked upon favorably.
Last Application Date: Open Until Filled
4. Postdoctoral Fellow in Learning-Based Model Predictive Control
Summary of Postdoctoral Fellowship:
The postdoctoral fellowship position is a temporary position where the main goal is to qualify for work in senior academic positions. The position will be in collaboration with a group of very active PhD students, already incorporating another postdoc. You will have the occasion to work on exciting theoretical work in the context of Model Predictive Control and Data-based Learning, and to approach exciting applications such as mobile robotics, smart buildings, and energy storage. Collaborations within the department, with other departments and abroad will be encouraged. The candidate selected for this position will have the possibility to work closely with the PhD students, develop supervision and leadership skills, and develop the skills necessary for an academic career. Your immediate leader will be Prof. Sebastien Gros, Head of Department.
Last Application Date: 31st August 2022
5. Postdoctoral Fellow in Artificial Intelligence
Summary of Postdoctoral Fellowship:
We have a vacancy for a postdoctoral fellowship at the Department of Computer Science at NTNU in Trondheim, Norway. The postdoctoral fellowship position is a temporary position where the main goal is to qualify for work in senior academic positions. The SFI NorwAI is a research-based innovation Center for AI Innovation hosted at NTNU in Trondheim, Norway. Here, we are joining forces with 15 partners from industry, universities, and research institutes. Research areas cover competences that the Norwegian industry needs to develop cutting-edge theories, methods, and technology, for efficient, effective and responsible exploitation of data-driven AI in innovative industrial solutions. Being part of a project like SFI NorwAI will give you a unique arena for collaboration and networking, also across disciplines and with industry.
Last Application Date: 31st August 2022
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6. Postdoctoral fellowship in occupational and organizational psychology
Summary of Postdoctoral Fellowship:
The position is linked to the Horizon 2020 project “H-WORK” H-WORK investigates multi-level interventions to promote good mental health among employees in small and medium-sized enterprises and public organisations in Europe. The project is funded by the EU and is an international collaborative project with 14 partners from 9 different countries. Through H-WORK, both qualitative and quantitative data have been collected related to the evaluation of multilevel interventions for mental challenges in Europe. In addition, data related to challenges related to COVID-19 have been collected directly, but also through conducting extensive organizational intervention during the pandemic. The PhD candidate will be part of an international research environment, with researchers in the forefront in Europe on occupational health and intervention research. The position is affiliated with the research group “Healthy Workplaces” at the Department of Psychology, NTNU. The research group has expertise in qualitative and quantitative research methods, as well as a broad experience with research on health-promoting workplaces and implementation and evaluation of organizational health interventions. The group is also part of the “NTNU Centre for Health Promotion Research”, which is interdisciplinary with researchers from three different faculties divided into 9 different departments at NTNU. We have a good working environment and extensive experience in supervising PhD candidates.
Last Application Date: 30th August 2022
7. Postdoctoral fellow in the Clinical Neuroscience Laboratory
Summary of Postdoctoral Fellowship:
We are seeking a motivated and enthusiastic postdoctoral fellow to join the Clinical Neuroscience Laboratory (CNL) at NTNU. CNL is headed by associate professor Alexander Olsen and focuses on investigating the consequences of brain injury and disease as well as the effects of treatment and neurorehabilitation by combining advanced neuroimaging techniques with wearable sensor technologies, neurocognitive assessments, and clinical measures. The postdoctoral fellow will join a recently funded research-based innovation project, with an aim to develop and test a new solution for digital symptom mapping and clinical decision support for patients with persistent symptoms (including headache) after mild traumatic brain injury (MTBI). The long-term goal of the project is to contribute to more accurate diagnosis and personalized treatment for the patients. It is also an opportunity to be involved in developing and conducting associated studies using neuroimaging (7T MRI), or other relevant advanced methodology within the postdoctoral fellow’s expertise or interest.
Last Application Date: 30th August 2022
8. Postdoctoral Fellow in Software Engineering/ Software Development Competencies in IT Education
Summary of Postdoctoral Fellowship:
We have a vacancy for a postdoctoral fellow in software engineering/software development competencies in IT education at the Department of Computer Science. The position is linked to the Excited Centre for Excellent IT Education (Excited). The postdoctoral fellowship position is a temporary position where the main goal is to qualify for work in senior academic positions. The vision of Excited is to bring Norway to the forefront of innovative IT education and to provide IT education for a sustainable and digital future. Approaches include increased focus on project- and team-based education, earlier involvement of students in research and development activities, increased focus on critical thinking, and self- and peer-assessment and -reflection, both among students and teachers. To achieve its vision, Excited addresses the challenges of IT education through three activity clusters: Learning outcomes and structure; pedagogy; and tools and infrastructure.
Last Application Date: 21st August 2022
9. 2 Postdoctoral Fellows in neural data science
Summary of Postdoctoral Fellowship:
The postdoctoral fellowship position is a temporary position where the main goal is to qualify for work in senior academic positions. The focus of the group is the analysis of population neural data, developing and applying methods from statistics, machine learning and topological data analysis (TDA). We collaborate heavily with experimentalists with evolving projects that present interesting challenges in computational neuroscience, such as neuron ensemble identification, state space discovery, latent dynamics characterization and relation to animal behaviour and computational models, etc. These projects require the advancement of methods, beyond the state-of-the-art, as well as neuroscientific knowledge to properly develop the theory along with the experiments and findings. The ideal candidates will have a background in either statistical/machine learning or TDA- approaches for the analysis of population neural data, preferably from Neuropixel probes. Here is an example of this line of research: Gardner & Hermansen et al., Toroidal topology of population activity in grid cells. Nature 602, 123–128 (2022). The selected candidates will be involved in one or more such projects, but we also encourage new topics and independent thinking.
Last Application Date: 21st August 2022
10. Postdoctoral Fellow position in Energy Systems Modelling
Summary of Postdoctoral Fellowship:
There is a temporary position available at the Department of Industrial Economics and Technology Management (IØT) as Postdoctoral Fellow for a period of 3 years. The position is resident at NTNU’s campus in Trondheim, Norway. The position is connected to the Managerial Economics, Finance and Operations Research group at the Department of Industrial Economics, and Technology Management and the Faculty of Economics and Management will be your employer. For more information about the department, see www.ntnu.no/iot. The position is part of the European Forum for Energy and Climate Transition (EFECT) recently created by NTNU and key European research institutes. The candidate will have the opportunity to work on European Union projects in the design of energy systems. There will also be flexibility and time for the candidate to work on own individual research initiatives and ideas. The EFECT Forum brings together interdisciplinary European experts in energy and climate modelling addressing questions concerning energy and climate transition.
Last Application Date: 19th August 2022
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11. Postdoc within Computer Vision methods for real-time classification of microfluidic droplets
Summary of Postdoctoral Fellowship:
The Postdoctoral fellow will work in close collaboration with other researchers in the group that will carry out experimental microfluidic work related to i) controlling interfacial properties to optimise drop/bubble stability/separation, ii) controlling synthetic conditions to optimise nanoparticle properties, and iii) following transport and retention of drops and particles flowing in porous media. Hence, we primarily want a postdoctoral fellow with strong programming skills and good understanding of experimental work that can collaborate with one or more of these researchers and utilise their data for the development of analytical tools. Candidates with ability to combine strong programming skills with own experimental work, on the other hand, should have good knowledge in optical methods for describing transport and deformation of dispersed systems, and will focus on applying AI/ML/DL methods for the formulation and characterisation of droplet or particle systems stabilised by macromolecules like nanocellulose and proteins.
Last Application Date: 15th August 2022
12. Postdoctoral Fellow in Distributed Data Processing and Inference in Emerging IoT and Wireless Systems
Summary of Postdoctoral Fellowship:
The position is linked to the project Resource-aware IoT with Enhanced Intelligence and Security, funded by the Research Council of Norway. The project deals with big data, the internet of things (IoT), and artificial intelligence as critical enablers of digital transformation. In particular, big data analytics allow us to discover hidden connections between seemingly unrelated things. However, running machine-learning-based analytics on a single central processor is often impractical due to the sheer scale of big data. In addition, in the emerging paradigm of the internet of things (IoT), large volumes of data are constantly gathered by numerous sensors and devices, which are often geographically dispersed or mobile to make matters even more challenging. This makes concentrating the data at a central processing hub unfeasible due to constraints on the energy budgets of the sensors, integrity of data holders, and the capacity of the communication channels. Thus, robust data processing over networks of machines/agents is essential for performing big-data analytics in future IoT-based applications. Consequently, the project’s main objectives are developing and analyzing robust resource-efficient machine learning algorithms for inference and decision-making in emerging wireless systems. The postdoctoral research fellow will have the opportunity to be affiliated with the IoT@NTNU and the Norwegian Open AI lab and collaborate with research scientists from international partner institutions. The hired candidate is to conduct research with Prof. Stefan Werner and possibly guide other students associated with the team. Preference will be given to candidates who can work independently and have a strong potential to build competence in distributed federated machine learning, privacy-preserving learning, and inference in IoT and wireless systems.
Last Application Date: 12th August 2022
