Skip to main content

CAIP Postdoc Positions

We are seeking outstanding candidates (two senior and two junior postdoctoral research fellows) to undertake cutting-edge research on computational sustainability and environmental analysis funded by Campus Alberta Innovates Program (CAIP).

The postdocs will be a member of the CAIP Research Chair team at Athabasca University, Alberta, Canada. Athabasca University (AU) is an institution in one of Alberta's four Comprehensive Academic and Research Intensive institutions. AU is committed to engaging its researchers and the community-at-large in promoting the economic and environmental well-being of the land and water of northern communities and providing Basin-based knowledge that can contribute to improved decision-making and community stewardship.

The objective of the CAIP program is to use a multidisciplinary and multi-scale analysis by integrating modeling of biogeochemical and hydrological processes with GIS, remote sensing, computational technologies, and social science to identify and manipulate diverse data on ecological, environmental and climatic issues, to study environmental sustainability of integrated terrestrial and aquatic systems at a river basin, to analyzes their impacts on the Athabasca River and its landforms, and link the outcomes within a decision framework.

Qualifications

A PhD or equivalent in ecosystem, environment, engineering, climatology or other closely related fields

  • Expertise in ecosystem or environmental modelling is essential with good understanding of biogeochemical or hydrological processes.
  • Strong skills and experience with programming languages (C, C++, or Fortran) and ability to design concept of model, algorithms and database
  • Good record of peer-reviewed scientific publication
  • Ability to work independently, self-motivated and to efficiently deliver results on time
  • The below experience and ability would be advantageous but not essential: ability to take initiative, prioritize and work under set deadlines and some experience in analyzing socio-economic data; ability to work as part of a team in a multi-disciplinary environment; data processing software (e.g. GIS, MATLAB, semantic technologies), scripting (e.g. C-shell), remote sensing and Unix/Linux environment; Experience running large scale models on computer clusters or supercomputers; Good verbal and written communication skills in English; experience in supervision of Master and PhD students.

The ideal candidate will have a strong background in modeling of biogeochemical or hydrological processes, with experience in conducting model testing and coding. The four positions are fixed term positions for a period of 2 years for the first time and subject to review every six months with possible renewable on mutual agreement. The fellowship is valued at Canadian $35000 ~ $50,000 per annum, depending on experience. This is an excellent opportunity for enthusiastic and ambitious researchers to use state-of-the-art approaches to make an impact in a fast-moving field of research.

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. The Selection will begin consideration of applicants on December 31st 2013; the competition will remain open until suitable candidates are appointed. All the positions will be based on Edmonton campus. How to apply for these positions, send an email to Prof Junye Wang at junyew@athabascau.ca with a detailed CV, your interest for the position, rationale for your suitability.

Comments

Popular posts from this blog

CS/Data Science/Digital Hardware option transfers NOW OPEN

The CS Undergraduate Advising Office has opened applications for CS transfers for Fall 2017. The online application is available at  https://oat.uwaterloo.ca/forms   and will be open from Tuesday, December 5 until  Sunday, December 31, 2017, at 11.59 p.m. We're accepting applications for: Transfer from Math to CS - at a minimum, must have taken CS 136 or be taking it in Fall 2017. Transfer from CS to BCS (Data Science) - must have taken STAT 231 or be taking it in Fall 2017. Transfer from CS to CS/Digital Hardware Adding a Joint CS to an out-of-faculty plan Transfer from outside of Math to CS (pending approval from Math) Answers to common questions about the transfer process can be found in the CS FAQs  (particularly #2 and #151).

AI, Internet of Things, Cybersecurity Online Conference - October 14 & 15, 2017

The world’s largest online conference kicks off this fall stronger than ever by assembling the best  industry leaders, disruptive minds, and visionaries. You’ve read their books and applied their work - now  it’s time to ask them questions, talk to them individually, accept their challenges, and get their feedback!  300 speakers interact with you through live talks, Q&A’s, forum and 1-to-1 video calls. Topics range from  ML to cyber intelligence to industrial IoT. Confirmed speakers for October 14&15th: Ian Goodfellow - Research Scientist, Google Brain Hugo Larochelle - Research Scientist, Google Sandy Carter - VP, Amazon Web Services Louis Monier - Head of AI, AirBnB Tim Abels - Director of Server Architecture, Intel Ashok Banerjee - CTO and VP Engineering, Symantec Andreas Mueller - Lecturer in Data Science, Columbia University Roman Yampolskiy - Assistant Professor, University of Louisville Patrick McDaniel - Distinguished Professor, Penn State ...

Positiond available at Heali AI

A bout Heali AI : The team consists of two serial entrepreneurs, two PhD engineers, two registered dietitian nutritionists, two ivy league masters and alumni from Google, Amazon and Snapchat. They're looking for additional engineering expertise as they look to build a suite of new unique tools. Heali’s mission is to make personalized dieting simple. They’re using a suite of technologies including Optical Character Recognition (OCR), Augmented Reality (AR) and Machine Learning AI to power a unique set of tools for consumers. More can be shared on an individual basis. Heali AI is currently have Internships / Consultancy Openings: Full Stack Engineer, Machine Learning Scientist (Fall Only), and Optical Character Recognition And Tracking Scientist. Full Stack Engineer Hard Requirements: College completion in Computer Science (minimum BS) Must knows: C++ , Python, Javascript Required experience with: Node.js, React, Amazon Web Services (AWS) Excellent written and verbal communi...