Supervisors

Potential topics/projects:

My long-term research interests lie at the interface of evolutionary ecology, fish ecology, northern aquatic ecology, fisheries, climate change, and intraspecific diversity. I carry out research on the dynamics of aquatic ecosystems and inform their conservation and management, with a primary focus on salmonid systems.

Basic and applied science - To generate knowledge and apply it to conservation and management.

Aquatic ecology - I primarily work in freshwater and estuary ecosystems, and study fish across their life cycle as well as their communities and ecosystems.

Scale - Individual life-stages, among-individuals, focal populations, watersheds, regional, and continental.

Field sampling: Norway, Canada, USA, and Scotland and it is often combined with big data analysis.

Analyzes - GIS, time series analyses, telemetry, stable isotopes, fatty acids, otoliths, morphology, genetic, life-history.

Collaborative - I work with various partners including: First Nations, DFO, USGS, Great Lakes Fishery Commission, provincial organizations (MFFP, SEPAQ), eNGOs and other organizations. I am currently involved in several projects:  FISHES,  CRÉA_CC ,  Scottish Salmon Telemetry (SCENE) , and  Great Bear Lake (DFO).

Louise Chavarie | NMBU

FISH & FISHERIES RESEARCH/CHAVARIE - Home (weebly.com)

Potential topics/projects:

My research field is primarily environmental toxicology. In the CERAD CoE - Centre for Environmental Radioactivity (Norwegian Centre of Excellence) my research focused on biological effects of radiation (radioactive and non-radioactive), including multigenerational effects through characterization of exposure, adaptive, adverse and early gene and functional responses and combined stressor effects in zebrafish (Danio rerio) and fish cell lines. These analyses contain endpoints such as gene expression and epigenetics, biomarkers, and Adverse Outcome Pathways (AOP) modelling, histopathological analyses, and multiple stressor HTP screening (UV, heavy metals; plastics components, natural products). The research also included field studies of contaminants and biological effects of radionuclides and POPs exposure in fish in lakes in the Chornobyl Exclusion Zone, including comparison analyses of radiation effects and radiosensitivity between different species and fish cell lines. Currently, in the frame of the EU Partnership for the Assessment of Risks from Chemicals (PARC) I am working on the development on novel approach methods to assessing developmental neurotoxicity (DNT) and immunomodulatory mechanisms of chemicals in zebrafish and human cell lines.

Selma Hurem | NMBU

https://orcid.org/0000-0001-5379-3305

Potential topics/projects:

Prof. Mayer has over 30 years research experience in the field of fish reproductive physiology and behaviour. His research has focused both on small model fish species and aquaculture species, especially Atlantic salmon. More recently his research has focused more on fish welfare, specifically how production systems can be changed to improve welfare. Currently, Prof. Mayer is coordinating a new EU project, CryoStore, focusing on how the cryopreservation of germplasm can benefit both animal breeding and the conservation of genetic resources.

Ian Mayer | NMBU

Potential topics/projects:

Jan Ludvig Lyche contributes expertise in toxicology and food safety. He is an EU-registered toxicologist and professor of veterinary medicine and head of the Laboratory of Environmental Toxicology (MT-lab) at the Faculty of Veterinary Medicine. The MT laboratory has established chemical analyses for the detection of environmental chemicals (persistent environmental pollutants, pharmaceuticals, plastic additives, UV filters etc.), as well as experimental models (cell culture/experimental animals) to characterize the toxic effects of chemical pollutants. For ten years, Lyche has been a member of the Science Committee for Food and the Environment, which carries out risk assessments on food safety issues. He has been a project manager and partner in national and international projects funded by the NFR, the EU, the EEA, Norad, the Norwegian Environment Agency, etc., which has led to a relatively large scientific output (see CV). Lyche teaches pharmacology/toxicology and chemical food safety at several institutes at NMBU and UIO. He also teaches toxicology and food safety on the Master course in Urban Agriculture at NMBU.

‪Jan Ludvig Lyche‬ - ‪Google Scholar‬

Publication list: Cristin

Potential topics/projects:

My research work compromised the transformation of different waste into more valuable added products. I have focus on developing new technological solutions to transform bio waste into biochemicals bio plastics and biofuels.

For this purpose, I have worked on raw material characterization in order to know the composition and structure of the different bio-based sources. I have also worked on preparing, characterizing and testing of different catalysts, these have been commercialized based and bio based produced also from different waste. We have also focus on the testing of such new catalytic solutions experimentally in the lab as well as modeling their interaction with the different raw materials from a theoretical perspective in order to have a more detail and complete understanding of the process and the chemistry involved (such as kinetics, heat and mass transfer limitations). We have helped developed and test different experimental set-up, as well as optimizing different reactors and reactions conditions, this has allowed us to optimize the process for the best use of the raw material as well as to minimized energy and consumables. Finally, I have been involved in techno economic assessments as well as scaling up process to obtain a commercial technology.

I have been working with experts worldwide within the different fields. The last consortium I put together is for a microwave assisted pyrolysis reactor and it has 6 companies and universities from 14 different countries.

Jorge Mario Marchetti | NMBU

Reaction Engineering and Catalysis (REC) | NMBU

Google scholar

Potential topics/projects:

The material theory and informatics research group is a young and dynamic research group, which collaborate closely with a cluster of material scientists at the University of Oslo and the SINTEF research institute, as well as several strong international groups worldwide.

We study properties of advanced materials based on density functional theory calculations. Projects can involve high-throughput calculations and machine learning, as well as method development. 

• Thermoelectric material screening and discovery
  Thermoelectricity can play a vital role in harnessing some of enormous waste heat generated in various industries, but more efficient materials are required to make it economically viable. We use novel approaches to discover, asses, and optimize thermoelectric materials within a high-throughput approach. 
• Functional properties of molecular crystals is an often overlooked topic, despite molecular crystals’ enormous potential as smart flexible materials. We use computer-driven approaches to design and explore novel switchable organic molecular crystals, including ferroelectrics.
• van der Waals density functional theory is one of the most popular and versatile methods and can be used to study biding of both hard and soft matter, but a number of potential extensions has not been fully developed yet. We take part in this development within a strong international network.

https://www.nmbu.no/en/groups/realtek/materialtheory

https://www.nmbu.no/ans/kristian.berland

Our research group believes that data science can transform the design and discovery of new materials, process control, and water and wastewater engineering in general. We apply data analytics, the science behind data analysis, to extract meaningful insights from the process and material representations. The results of our research are helpful for recommendations, implications, decision support, and process control. We work with descriptive, diagnostic, predictive, and cognitive analytics, combining artificial intelligence and machine learning with expertise in water and wastewater treatment processes.

Potential topics/projects:  

• Data-driven membrane design
  Machine learning can predict separation performance and provide membrane design principles. We are interested in converging data science and material design to find structure-property-performance relationships for membranes used in water treatment. The projects in this area can include material space construction and exploration, candidate selection and validation using a high-throughput screening approach.
• Engineering of membrane processes with data analytics
  We develop intelligent membrane systems that use process analytical technology to control separation and membrane fouling. Implementing cognitive analytics in membrane processes requires collecting vast amounts of data in real-time and mining those by system condition diagnosis. Projects include field-deployable instrumentation (real-time analytics) and chemometrics for monitoring chemical and physical attributes and detecting events that cannot be derived from conventional physical variables commonly monitored in membrane separation processes (flow rate, pressure, temperature).
• Electrochemical and electromembrane processes
  Our group explores the value of electrooxidation and electrocoagulation for water and wastewater treatment. We look at the electrooxidation of contaminants of emerging concern and develop electromembrane processes with conductive membranes.

MSCA postdoc proposal may connect to one of our ongoing projects:

• AECo Advancing EleCtrochemical processes for water safety and circularity
• PATCHER Protecting aquatic ecosystem and human health from micropollutants
• MEMPREX Membrane processes for the next decades challenges in the water sector
• IntelMEM Intelligent membrane systems for reserve water supply

Our primary research collaborators are Roberts and Ponnurangam research groups at the University of Calgary, the Department of Earth and Environmental Engineering at Columbia University in the City of New York, the Tarabara research group at Michigan State University, Institute of Advanced Membrane Technology at Karlsruhe Institute of Technology, several research groups at the University of Brasilia and Federal University of Rio de Janeiro.

Zakhar Maletskyi | NMBU
https://www.linkedin.com/in/zakharm/

In aquaculture, the integration of computer vision coupled with computational fluid dynamics has modernized the management and efficiency of aquatic environments. These techniques can be used to monitor fish behaviour, track growth patterns, and detect anomalies in real-time. The techniques also enhance data extraction from underwater images, facilitating detailed analysis of water quality parameters and the overall health of aquatic organisms. Moreover, it also provides a predictive understanding of fluid dynamics within aquaculture systems. This integration allows for optimized water flow, waste management, and environmental conditions, ultimately improving the overall sustainability and productivity of aquaculture operations. The synergy of these technologies presents a powerful toolset for addressing challenges in aquaculture and promoting its sustainable development.

My research is also at the forefront of transformative technologies contributing to climate change research and mitigation efforts. The research plays a pivotal role in monitoring and analyzing environmental data. The interpretation of satellite imagery provides insights into deforestation, ice cap melting, and other visual indicators of climate change. These technologies collectively empower scientists and policymakers to make informed decisions and implement effective strategies for mitigating the impact of climate change.

I am also one of the investigators of the BatCAT project which is funded by the EU's Horizon Europe programme. The project is a collaboration between 18 partner organisations  from 9 European countries, coordinated by NMBU.

Habib Ullah | NMBU

https://scholar.google.com/citations?user=s86FVEUAAAAJ&hl=no&oi=sra

At the moment, my two main research lines are effects of forestry on carbon storage and biological processes in forest soils and on drought-stress in Norway spruce.

Potential topics/projects:

At the moment, my two main research lines are effects of forestry on carbon storage and biological processes in forest soils and on drought-stress in Norway spruce.

My research interests: 

Extensive experience working with PhD students in different European countries and have held a MSCA Individual Fellowship myself.

The world is facing a rapidly changing climate and an unprecedented loss of biodiversity. Solutions may severely affect current land uses and put increasing pressure on already vulnerable areas, adversely affecting the ecosystem goods and services provided. To make better policy decisions for a more sustainable future it is critical to understand the gains and losses to society of continuing our current path and the other paths available to us. Determining the gains and losses begins with understanding how people make choices and trade-offs among goods and services in real and hypothetical markets. This understanding is critical to value the environment, and to derive and forecast demand. Today, more data is collected about what people do and how they behave than ever before. For example, GPS location data, social media and public transport data. The ability to combine these data sources with more traditional demand data allows us to augment traditional data sources and expand our models. Combined with the superior ability of machine learning models to generate predictions of demand change combined with more traditional models based on behaviour has the potential to give new and important insights.

Erlend Dancke Sandorf | NMBU