08 Postdoctoral Fellowship at NTNU, Norway

The PD for this particular position will by using several electrochemical methods study the deposition of liquid manganese and/or an liquid manganese-iron alloy in a molten oxide based on SiO2 and CaO with elements of MgO and Al2O3, all natural constituents of the Mn ore. The effects of electrolyte composition, operating temperature, current density, and electrode material on the Mn/FeMn electrodeposition kinetics, current efficiency, as well as the composition and purity of the deposited metal. Also, the the kinetics and electrode processes of an inert oxygen evolving anode in addition to the effects of the corresponding oxidizing atmosphere on the current efficiency, will be studied.

The PD will plan and conduct experiments and analyse results according to the project objectives with support from the supervisors and the larger project team. Information about the Electrochemistry group at DMSE can be found here. The results of the project are expected to be published in scientific journals and at national/international conferences as well as presented to research partners in the ZeSiM project.

The Department of Civil and Environmental Engineering has a vacancy for a postdoctoral fellow position for smart algorithms for railway track health monitoring, issue warning and optimize maintenance routine using measured data from a train in regular traffic and train-track dynamic modelling tool.

NTNU is collaborating with the Norwegian Railway Directorate on challenging engineering projects for our future railway systems. This collaboration involves continuous monitoring and evaluation of railway infrastructures’ status. Utilizing measuring system on the train, data from passenger trains in regular service will be recorded and analysed for multiple purposes. The focus of this position is to explore the recorded train data and employ train-track dynamic modelling (using Multibody Simulation Software) to develop smart algorithms. These algorithms will provide information about the condition of the railway infrastructure and establish smart routines to warn of and maintain it effectively.

Currently, railway track conditions are monitored either manually or through dedicated measurement cars. However, these methods have a significant drawback: track conditions are assessed infrequently, leaving the track vulnerable to issues that may arise between measurements. This project aims to address this challenge by leveraging data collected from regular trains in traffic.

The Kavli Institute for Systems Neuroscience is part of the Faculty of Medicine and Health Sciences at NTNU. It was established as a Centre of Excellence in 2002, again in 2012 and again in 2023 which has never happened before in Norway. It was designated as a Kavli Foundation Institute in 2007. Work in the Moser group was awarded the Nobel Prize in Physiology or Medicine in 2014. The scientific goal of the Institute and the two research groups is to understand neural circuits and systems in the cortex and to identify neural-population mechanisms underlying high-level cognitive functions (www.ntnu.edu/kavli).

The focus of the Moser group is on mechanisms for space, time and memory coding in the hippocampus and entorhinal cortex in the adult and developing brain. With the introduction of new technologies for high-resolution neural population recording (Neuropixels and two-photon miniscope imaging), the group has shifted its interests towards large-scale neural network computation in interacting neural circuits. Experimental studies are guided by computational models of neural network function, and investigators work closely with theoretical partners. The group has an extensive world-wide network of collaborators to reach its objectives.

Dr. Zong established his group at the Kavli Institute in 2023, focusing on developing cutting-edge optical tools to monitor and manipulate neural activity in naturally-behaving animals to understand the neuronal computation rulesets in cortical microcircuits. Dr. Zong’s recent achievement includes the development of a miniature portable 2-photon miniscope (MINI2P) for high-resolution multiplane imaging of thousands of neurons in the cortical tissue of freely-moving mice (W. Zong et al., Cell, 2022).

The postdoctoral fellowship position is a temporary position where the main goal is to qualify for work in senior academic positions.

The post will be part of a Horizon EU project (https://www.ntnu.edu/diversea), to integrate Observation, Mapping, Monitoring and Prediction processes for coastal biodiversity. The post-doc will develop the statistical models to integrate different data streams to model and predict coastal biodiversity. These models will be used in collaboration with other members of the project to produce maps and predictions in our different case study regions (including the North, Mediterranean, and Black Seas).

The approach we have developed to carry this out is based on hierarchical statistical models (https://github.com/gjearevoll/BioDivMapping), but we will look at how we can integrate this with AI/ML methods.

We have a vacancy for a postdoc position of 2 years, or 3 years including teaching duties.

The postdoctoral fellowship position is a temporary position where the main goal is to qualify for work in senior academic positions.

The position is part of the Digital Enterprise research area at the faculty of Information Technology and Electrical Engineering. Relevant research fields in the Digital Enterprise area are Information Systems, Informatics, Computer Science, Computer- Supported Cooperative Work, Human-Computer-Interaction, Digital Economy, and related fields.

The Digital Enterprise is a cross-disciplinary research and teaching area focused on developing top-class knowledge on the characteristics and challenges of digitalization in public and private organizations. It is grounded on a sociotechnical and holistic perspective on the use of technologies such as Artificial Intelligence and Big Data. Our current projects and collaborations have an Artificial Intelligence and/or Regulation emphasis.

The postdoctoral fellowship position is a temporary position where the main goal is to qualify for work in senior academic positions. The postdoctoral fellow is expected to contribute to the overall objectives of the LEGACIES project by producing research work in this area, actively contributing to the analysis and management of data, and contributing to the production and publication of research work associated with the LEGACIES project. Candidates with a strong substantive background in comparative politics, peace and conflict studies, and/or international relations and a strong background and training in quantitative research methods and data management, potentially including the analysis of spatial data, will be considered advantageous.  

Med en økende andel eldre i befolkningen, er det et stort behov for bærekraftige helsetjenester for eldre med risiko for skrøpelighet eller som er skrøpelige. Skrøpelighet en kompleks tilstand preget av en kumulativ nedgang på tvers av flere fysiologiske kroppssystemer, med økt sårbarhet for uønskede helseutfall og død. Prosjektet har som mål å bruke digitaliserte helsedata for å forbedre helsetjenester til målgruppen og samt å bedre samhandlingen mellom helsepersonell. 

Prosjektet er finansiert av NTNU Helse og gjennomføres som et samarbeid mellom tre ulike fakulteter ved NTNU og Trondheim kommune. Tre PhD-stipendiater og en postdoktor vil jobbe sammen i en tverrfaglig prosjektgruppe og veilederteam for å nå målene for prosjektet.

Dette vil bli gjort på et medisinsk, et teknisk og et samfunnsvitenskapelig ekspertisenivå fra de tre respektive doktorgradene og deres fakultetstilknytning, med en tverrfaglig fokusert postdoktor for å integrere funnene på tvers av disipliner. Prosjektet vil påvirke fremtidige tverrfaglige arbeidsmodeller for skrøpelighet for å forbedre helse og funksjon hos eldre mennesker, som et ledd i å utvikle fremtidige bærekraftige helsetjenester.