Computer Scientist

premises in Bari - Torre a Mare, Italy.
Essential requirement is expertise in quantitative analysis combined with solid statistical skills, fisheries
modelling and providing advice on fish species, using biological and statistical models. This
encompasses experience with the statistical programming language R, knowledge of fish stock
assessment and Management Strategy Evaluation. Preferential requirements are knowledge of the
Common Fishery Policy, Data Collection Framework in the fishery sector and familiarity with: i) stock
assessment models and advice process; ii) bio-economic modelling; iii) spatial management of fishery
resources and ecosystems; iv) anthropogenic effects (including climate change) on marine species,
communities and ecosystems.
Statistics, Biology, Physics, Environmental Sciences or related disciplines, a PhD, or alternatively a
preferential requirements.
Working in multi-disciplinary teams will be an important part of the position, as well as working
collaboratively and interacting routinely with other colleagues and research groups, participating to
EU/National projects and coordinating research tasks.
COISPA works on fishery research, monitoring, providing advice on demersal fish species, using
biological and statistical models, bioeconomic modelling and integrated ecosystem-based
management, fish behaviour and aquaculture. The COISPA’s infrastructures are: 1) Laboratory of
Ichthyology and Marine Ecology (LIME); 2) Modelling Laboratory (MOL); 3) Experimental Aquaculture
We seek a creative person, with the ability to effectively work in interdisciplinary teams on crosscutting issues. Because of the international nature of the work, an ability to read and speak English is
required, knowledge of the Italian language would be an additional asset. Preference will be given to
those with some demonstrated participation in research projects (international and national) and
international Working Groups, as ICES, GFCM and STECF WGs, scientific productivity through peerreview publications.
Applicants must have good collaboration skills, appear positive and results-oriented. We will put great
emphasis on personal qualities.
renewable as a permanent position. Smart working, in certain circumstances, is a possibility taken into
consideration.
The salary will depend on the level of experience.

**following documents in PDF format**: i) curriculum vitae in EU format; ii) maximum two pages of
narrative, describing research interests and plans; iii) a presentation letter. This selection notice is