Employment & Opportunities

2 + 1 Year Post-doc Position - University of Pavia (Italy)

DURATION:

The post-doc position has been established for the moment for a 2-year period. However, funding is and will be available to extend it for a further year after the first 2 years with mutual agreement between the advisors and the researcher.

DESCRIPTION:

A post-doc position at the University of Pavia (Italy) in the field of lake ecological and hydrodynamic modelling is available. Object of the work will be the 0D/1D modelling of lakes of different size and characteristics in the Lombardy region of Italy, with the aim of assessing the achievability of the water quality targets prescribed by law for each basin. The post-doc will work within the cooperation agreement among Regione Lombardia, CNR-IRSA (Water Research Institute of the Italian Research Council) and the University of Pavia “Hydrodynamic-ecological modelling activities of lakes in Lombardy to support the update of the regional Programme for the Protection of Water” (“Modellazione idrodinamico-ecologica dei laghi lombardi a supporto dell’aggiornamento del Piano di Tutela delle Acque”). The researcher will oversee and contribute to all the aspects of the work:

1. organisation of existing data needed by the models and identification of the missing data to be surveyed;
2. selection of the most proper methods and hypotheses for the modelling of various different lakes in Lombardy;
3. implementation of the numerical models of the lakes in Lombardy;
4. application of the models to the analyses required by the regional Programme for the Protection of Water and drafting of the related technical reports;
5. preparation of the scientific papers documenting the results of major scientific interest achieved in the activity.

The post-doc will collaborate with researchers at the University of Pavia and CNR-IRSA as well as with technical personnel of ARPA Lombardia (Regional Environmental Protection Agency of the Lombardy region) and of Regione Lombardia. Strict collaboration will also start in late 2022 with a Ph.D. student at the University of Pavia who will also work on the project.

POSITION:

The post-doc will be qualified as Research Assistant (“Assegnista di Ricerca”) at the Department of Civil Engineering of the University of Pavia, but will also be given an equivalent associate position at CNR-IRSA, in Brugherio and/or Verbania, in order to perform the project activities. The main work location will be Pavia, where manifold residences for University staff are available. Work will start no later than July 2022.

REQUIREMENTS (MANDATORY AND SUGGESTED):

1. M.Sc. degree (mandatory) in a field relevant to the project: Environmental/Water Engineering, Natural Sciences, Biology, etc.;
2. Ph.D. degree (theoretically not mandatory due to legislation issues, yet highly suggested) in a field relevant to the project;
3. previous research experience in the ecological or hydrodynamic modelling of lakes (suggested);
4. coding using at least one language among MATLAB, R, Python (suggested);
5. a proper level of English to perform scientific research activities (mandatory, knowledge of Italian is also a plus, due to the applicative nature of the project, which will involve dealing with local authorities).

SELECTION PROCESS:

Selection of candidates is based on qualifications and on an interview with the candidates, which will be performed online.

APPLICATION:

Application should be submitted before May 11 2022, 12:00 CET. The announcement of the position is available here. Application is to be submitted through the PICA portal.

CONTACTS:

Andrea Fenocchi (University of Pavia): .

Claudia Dresti (CNR-IRSA Verbania): .

Diego Copetti (CNR-IRSA Brugherio): .

Post-doctoral fellowship in streamflow forecasting with machine learning - University of Alberta

Applications are invited for an NSERC and Alberta Government‐funded one‐year post‐doctoral fellowship in the areas of machine learning and hydrology, with application to streamflow forecasting. Streamflow forecasting is critical for social, economic and environmental purposes, including reservoir operations, spring seeding, and evaluation of water use efficiency improvements, and can provide early warning of flooding and drought. Using machine‐learning techniques, the successful candidate will develop an online, monthly, March‐September streamflow forecasting tool for use by Alberta Environment and Parks, a provincial government ministry.

Based at the Department of Civil and Environmental Engineering at the University of Alberta in Edmonton, Canada, the post‐doctoral fellow will also interact with researchers and modellers in Computing Science, and with streamflow forecasters in the River Forecast Centre of Alberta Environment and Parks. The candidate will be expected to manage the research project, including defining and delivering on timelines, track project status and team member action items, make day‐to‐day project decisions in alignment with project objectives, and know when to escalate decisions and issues to the larger team. In addition to development of the streamflow models, the candidate will also be expected to present research progress and results to the research team, and to write academic research papers as well as reports for funding agencies and partners.

The Department of Civil and Environmental Engineering believes that innovation, professionalism, and excellence stems from researchers who value diversity, equity, and inclusivity of perspectives and people. Preference will be given to candidates with the following qualifications,

• PhD in engineering, computer science or mathematics, with expertise in machine learning, hydrology and snow hydrology, statistical modelling, deep learning, data analytics, computer programming, hydrological/watershed modelling and model development.
• Demonstrated scientific ability through publications in peer‐reviewed journals, machine learning model development, and successful grant applications.
• Computer programming skills in R, Python, and high‐performance technical computing.
• Demonstrated ability to organize and coordinate research projects involving multiple researchers.
• Excellent communication skills, ability to work in a group environment, and a demonstrated interest in and capacity for interdisciplinary research.

Anticipated Remuneration: Approximately $49,000 CAD/year

Review of applications will begin on May 9, 2022 and continue until a successful candidate is found.

Please send your CV, list of three references, and a cover letter that describes your relevant qualifications and experience to, Dr. Evan Davies at .

News & Events

3rd Annual Canadian Geothermal Students' Days - Call for Abstracts

We are pleased to announce that the abstract submission for the Third Canadian Geothermal Students’ Days (CGSD 2022) is now open. Graduate and undergraduate students across Canada are welcome to share their ideas at the upcoming CGSD, which will be held on 22–23 August 2022 at the University of Alberta in Edmonton, Alberta.

CGSD was established in 2019 to bring students and significant stakeholders in geothermal energy throughout Canada together for networking, learning, and sharing of ideas. The purpose is to help advance pioneering knowledge and technologies relating to the development of geothermal energy in Canada.

CGSD 2022 will host keynote speakers and sponsors from the industry. Participating students must submit a short paper and present their research projects (oral presentation or poster) during the conference. There are no registration or inscription fees for the accepted students. Travel grants might be possible to arrange depending on the number of attendees.

Abstracts should be less than 500 words, using the template on our web page, and must be submitted to before May 31, 2022. Authors of the accepted abstracts will be notified by email to submit their short papers.

Key Dates

• Abstract submission deadline – Tuesday, May 31, 2022
• Author notification / Accepted abstracts – Friday, June 10, 2022

For more information or any questions regarding the event, please visit our web page or contact the liaison ( ).