Applications are invited for 15 PhD positions (Early Stage Researchers) to be funded by the European Commission’s Horizon 2020 Marie Skłodowska-Curie Innovative Training Network (ITN) AQUASENSE a consortium of high profile universities and companies located across Europe.
The deterioration of water quality, caused by climatic/seasonal changes, or industrial waste etc. is a major global concern. Over the last decade, water quality observing technology has risen to the challenge of scientists to identify and mitigate poor water quality by providing them with cost-effective tools that can take measurements of essential biogeochemical variables autonomously. Yet, despite these options becoming more readily available, there is a gap between the technology and the end-user (including the investigators and technicians that deploy these technologies) due to a collective lack of training, in-depth knowledge, and skilled workers who can meet new and emerging challenges. Autonomous underwater robots and drones will be used to improve the data gathering and AI methods will be used to improve the data analysis. Hands-on project training will be supplemented with formal training courses in relevant fields such as new materials, sensors fabrication, wireless communication, system integration, and robotics, and a variety of complementary courses such as IPR, grant writing and exploiting the scientific results. Mobility within the network will ensure exposure to complementary academic and industrial research environments.
The candidate is expected to have skills in these areas. As the project focusses on training, there is an expectation that the candidate will submit a PhD in the field relevant to the project and publish the results in journals of good impact. The candidate is also expected to attend and contribute to the workshops and secondments as specified in the project programme. A Master's degree is required.
More information here.
Deadline: 29 March 2019