Jobs at OpenGeoHub / EnvirometriX
Currently open vacancies
Help us make better data and better software for a better world!
Open vacancies (2019):
- Postdoctoral position: geo-computation & Machine Learning optimization,
- Researcher: predictive mapping using Ensemble Machine Learning,
- PhD position: spatio-temporal data modeling and scenario testing using web-GIS,
- Project coordinator assistant / research assistant,
General selection process
Selection process for positions at OpenGeoHub and/or EnvirometriX typically follows four phases:
Registration of participants. Selection of top 8 applicants.
(Optional) testing of applicants using position-tailored tests. Selection of the top 4 applicants from the previous round.
Interviews with the selection committee (physical in Wageningen or by using video conferencing). Selection of the top 1–2 applicants from the previous round.
Assessment using a concrete assignment and the selection of the final candidate. Within two weeks after selection, a copy of the contract will be offered.
Other important information about the selection process:
Applicants can apply for only one (1) of the offered positions. Duplicate applications (hence 2nd or 3rd application by the same person) will NOT be considered.
Please do NOT insert any information that is unverifiable or incorrect. Any incorrect information or information that inflates your actual professional capabilities might be used to disqualify you from further process.
For self-assessment try to be short and concise as much as possible. Avoid adding any skills that can not be verified and skills that you can not use in the production work. More accurate self-assessment (i.e. self-assessment that brings the selection committee to the same conclusions) will likely increase your chances of winning the call.
Before submitting your application you might want to consider improving your technical skills i.e. following an online course or similar. We value any effort an applicant makes to sharpen his/her technical skills prior to the registration deadline.
We expect a high number of applications hence please be patient about receiving feedback / support.
OpenGeoHub foundation is located at the Wageningen Campus, within the Agro Business Park. Wageningen is a student town with a population of about 45,000 from which about 13,000 students. Wageningen University's researchers are active around the globe, and the university hosts students from over 100 countries. Wageningen is the third municipality (after Den Hague and Amsterdam) with highest entho-diversity per square-km in the Netherlands.
OpenGeoHub works closely with EnvirometriX Ltd (innovation, research and consultancy) which is the commercial branch of the organization. Both OpenGeoHub and EnvirometriX are start-up organizations aiming to become applied research institutes with about 15 staff in 2020+.
We are experts at defining, designing, creating, and implementing spatial databases on global and regional scales as well as information and monitoring systems that are based on objectivity, transparency, and updatability. We are especially good at documenting the processing steps and boosting the predictive mapping accuracy using Open Source software solutions. By further combining pedometrics and environmetrics with econometrics, we aim at providing economic frameworks for a realistic cost-benefit analysis.
We also recognize that the value of any data is in its beneficial and profitable use, so, it is really important to us that our data get widely used to do good things and that we make every possible effort to facilitate and encourage this beneficial use. Our mission is, thus, to help public organizations and businesses to base all such decisions on accurate, reliable, and accessible information.
We also believe that greening the planet and mitigating the climate change effects are the most noble goal of modern life. Moreover, we believe that these goals need to be achieved via scientifically informed design and evidence-based decision-making involving objective data, reproducible computational notebooks, the use of state-of-the-art statistical modeling, and iterative updates. We are dedicated to increasing the capacity of people to utilize Open Source software to create new solutions and designs. We use modern technologies to do good and help transfer data and knowledge from where it is in excess, to where it is most needed.
We have done consultancy and data production work for European Commission, UNCCD, The Nature Conservancy and Bill & Melinda Gates Foundation. Our core philosophy is outlined in this document (see also our Medium article on OpenLandMap.org).
Our working style
We closely follow the Agile approach to software development and programming. We frequently use sprint tele-conferences and discuss things through Mattermost, WhatsApp and similar. We believe that people are more productive if they get more autonomy, creative freedom and if they have a clear vision of the purpose for their work (see Daniel Pink: "Drive"). We hence support that our employees spend up to 2 days a week on their own projects / personal development (remote working in this periods is also a possibility). Further details of such arrangements need to be discussed per employee.
Our offices are open 24hrs a day 7 days a week. We have our own infrastructure for computing and plan to make significant investments in computing, visualization and server infrastructure in the years to come.
Applicant: Person registered / received application for the position.
Assignment: Usually a data science / data analysis problem that needs to be solved, or a design that needs to be produced within a short period of time (48hrs). It commonly implies writing up computational notebooks, presenting results using slides and similar.
Candidate: Finally selected applicant that will be offered a contract.
Evaluation of applicants: Commonly done using a matrix comparison (based on the job requirements) and by assigning points. Although evaluation is mainly based on objective assessment of the applicants, subjective assessment (i.e. applicant's reaction during interviews) might also be taken into account.
Production work: Production of software, data sets, web-services which will be used for operational work by contractors or organizations that have ordered such systems. In contrast to research and development work, operational products need to pass strict testing i.e. need to be delivered at the level: stable for operational use.
Self-assessment: Subjective his/hers rating and evaluation of how well does applicant skills and ambitions match the job description and requirements. The selection committee might request to validate any claims or information provided by the applicant at any stage of the process.
- Selection committee: Usually 3–4 members from the Management Board and/or the scientific committee (https://opengeohub.org/scientific-committee).
Verifiable information: Information provided by applicant that can be independently confirmed by legal bodies and/or companies with core expertise in the field. Information compatible with the European Union standards such as education degrees, ECTS points and similar (to check your degree compatibility to the Dutch education system please check https://www.enic-naric.net/ and/or expatica.com).