Project partner #3
NAME OF THE ORGANIZATION: Norwegian University for Science and Technology (NTNU)
MAIN CONTACT FOR GoJELLY: Nicole Aberle-Malzahn, nicole.aberle-malzahn@ntnu.no
ADDRESS: Trondheim Biological Station (TBS), Bynesveien 46, 7491 Trondheim, Norway
WEBSITE and other links:
https://www.ntnu.edu/biology/research/tbs
https://www.ntnu.edu/biology/research/marine-sciences
GENERAL DESCRIPTION OF THE ORGANIZATION
NTNU is Norway’s largest university with more than 39000 students with a focus on technological research, natural sciences and education. About 3500 students graduate every year, and about 380 PhD-degrees are awarded yearly. NTNU has 8 faculties, and a staff of about 7000 with more than 4000 academics of which 40 % are female. The annual budget of NTNU is around € 800M, of which 25% is externally funded. NTNU has a broad range of contacts with international R&D actors. NTNU was/is the Coordinator of 64, 126 and 19 projects under the 6th, 7th framework and H2020 programs, respectively. NTNU Ocean, one of four strategic research areas at NTNU, is focusing on marine and maritime research; including marine science and higher education at the Department of Biology.
COMPETENCES AND INVOLVEMENT in GoJelly
• NTNU has a strong emphasis on marine science and the ‘Pelagic food web’ group within the department of biology focusses mainly on plankton ecology, energy transfers within food webs and predator-prey interactions.
• A core focus is on climate change impacts on marine ecosystems and the responses of plankton communities to future ocean conditions.
• Jellyfish taxonomy and systematics based on DNA-based approaches and population modeling of jellyfish are a key expertise.
• NTNU as a GoJelly partner has the lead for WP2 and participates in WP3 and WP7.
• Within WP2, NTNU will focus on the ecology, biology and biochemistry of jellyfish within the target marine ecosystems.
• NTNU will analyze the triggering mechanisms that lead to jellyfish bloom formation. The obtained data will provide the basis for more reliable predictions on jellyfish blooms in the target areas.
