Postdoctoral Fellow in Statistical Ecology

Updated: 2 months ago
Job Type: FullTime
Deadline: 31 Mar 2024

15 Feb 2024
Job Information
Organisation/Company

NTNU Norwegian University of Science and Technology
Department

Department of Mathematical Sciences
Research Field

Mathematics » Statistics
Researcher Profile

Recognised Researcher (R2)
Country

Norway
Application Deadline

31 Mar 2024 - 23:59 (Europe/Oslo)
Type of Contract

Temporary
Job Status

Full-time
Hours Per Week

37,5
Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description
This is NTNU

NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim.

At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world.

You can find more information about working at NTNU and the application process here .


About the job

The postdoctoral fellowship position is a temporary position where the main goal is to qualify for work in senior academic positions.

The post will be part of a Horizon EU project (https://www.ntnu.edu/diversea ), to integrate Observation, Mapping, Monitoring and Prediction processes for coastal biodiversity. The post-doc will develop the statistical models to integrate different data streams to model and predict coastal biodiversity. These models will be used in collaboration with other members of the project to produce maps and predictions in our different case study regions (including the North, Mediterranean, and Black Seas).

The approach we have developed to carry this out is based on hierarchical statistical models (https://github.com/gjearevoll/BioDivMapping ), but we will look at how we can integrate this with AI/ML methods.

The mentor for this position is Prof. Bob O’Hara.


Duties of the position
  • Develop integrated distribution models for coastal areas, with a focus on combining diverse data types.
  • Collaborate with other members of the project to optimise the models and provide results that can be used in other parts of the project.
  • Work with ML researchers to integrate the developed methods with AI/ML approaches.

Required selection criteria
  • You must have completed a Norwegian doctoral degree or corresponding foreign doctoral degree recognized as equivalent to a Norwegian PhD in  statistics, quantitative ecology, or an equivalent area. If you can document that the PhD thesis has been submitted, your application can be assessed even if you have not yet defended your dissertation. Documentation of the obtained doctoral degree must be presented before you can take up the position. 
  • Interest in using Bayesian hierarchical models to model ecological systems.
  • Ability to work with large complex data sets.
  • Ability to collaborate across disciplines.
  • Interest in learning new skills and approaches.

The appointment is to be made in accordance with Regulations on terms of employment for positions such as postdoctoral fellow, Ph.D Candidate, research assistant and specialist candidate.


Preferred selection criteria
  • Experience using Bayesian hierarchical statistical models.
  • Experience in statistical ecology.
  • Good written and oral English language skills.

Personal characteristics
  • Develops effective, sensible and practical solutions to problems.
  • Sees the big picture and takes broader considerations into account.
  • Shares information and expertise to achieve the desired result.
  • Prefers cooperation to individual or competitive work, shares responsibility and helps the group to get the job done.
  • Develops considerable expertise over time.

Emphasis will be placed on personal and interpersonal qualities.


We offer 
  • exciting and stimulating tasks in a strong international academic environment 
  • an open and inclusive work environment  with dedicated colleagues 
  • favourable terms in the Norwegian Public Service Pension Fund 
  • employee benefits 

Salary and conditions

As a Postdoctoral Fellow (code 1352) you are normally paid from gross NOK 594 500 per annum before tax, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund

The period of employment is 3 years.

The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants , and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who by assessment of the application and attachment are seen to conflict with the criteria in the latter law will be prohibited from recruitment to NTNU.  

After the appointment you must assume that there may be changes in the area of work.

The position is subject to external funding.

It is a prerequisite you can be present at and accessible to the institution on a daily basis.


About the application 

The application and supporting documentation to be used as the basis for the assessment must be in English.

Publications and other scientific work must be attached to the application. Please note that applications are only evaluated based on the information available on the application deadline. You should ensure that your application shows clearly how your skills and experience meet the criteria which are set out above.  

If, for any reason, you have taken a career break or have had an atypical career and wish to disclose this in your application, the selection committee will take this into account, recognizing that the quantity of your research may be reduced as a result. 

The application must include: 

  • CV and certificates
  • Transcripts and diplomas for bachelor's-, master's- and PhD degrees. If you have not yet completed your Ph.D, you must provide confirmation on your estimated date for the doctoral dissertation, or that your PhD thesis has been submitted
  • Academic works - published or unpublished - that you would like to be considered in the assessment (up to 3 items)
  • Name and contact information of three referees

If all, or parts, of your education has been taken abroad, we also ask you to attach documentation of the scope and quality of your entire education. Description of the documentation required can be found here . If you already have a statement from NOKUT, please attach this as well. 
 
Joint works will be considered. If it is difficult to identify your contribution to joint works, you must attach a brief description of your participation. 

In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal and interpersonal qualities. Motivation, ambitions, and potential will also count in the assessment of the candidates. 

NTNU is committed to following evaluation criteria for research quality according to The San Francisco Declaration on Research Assessment - DORA. 


General information 

Working at NTNU 

NTNU believes that inclusion and diversity is a strength. We want our faculty and staff to reflect Norway’s culturally diverse population and we continuously seek to hire the best minds. This enables NTNU to increase productivity and innovation, improve decision making processes, raise employee satisfaction, compete academically with global top-ranking institutions and carry out our social responsibilities within education and research. NTNU emphasizes accessibility and encourages qualified candidates to apply regardless of gender identity, ability status, periods of unemployment or ethnic and cultural background.

NTNU is working actively to increase the number of women employed in scientific positions and has a number of resources to promote equality .

The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the innovation capital of Norway with a population of 200,000. The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is probably the best of its kind in the world. Professional subsidized day-care for children is easily available. Furthermore, Trondheim offers great opportunities for education (including international schools) and possibilities to enjoy nature, culture and family life and has low crime rates and clean air quality.  

As an employee at NTNU, you must at all times adhere to the changes that the development in the subject entails and the organizational changes that are adopted. 

A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you want to reserve yourself from entry on the public applicant list, this must be justified. Assessment will be made in accordance with current legislation . You will be notified if the reservation is not accepted.

If you have any questions about the position, please contact Prof. Bob O’Hara, telephone: +47 915 54 416, email: [email protected] .

If you think this looks interesting and in line with your qualifications, please submit your application electronically via jobbnorge.no with your CV, diplomas and certificates attached. Applications submitted elsewhere will not be considered. Upon request, you must be able to obtain certified copies of your documentation. 

Application deadline: 31.03.2024.

 

NTNU - knowledge for a better world

The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.

Department of Mathematical Sciences 

We are Norway’s largest university environment in mathematical sciences. The Department has a particular responsibility for all basis education in mathematical sciences for engineering and natural science students at NTNU. We focus on long-term basic research and applied research at a high international level. 
Our aim is to meet the society’s needs for mathematical and statistical expertise in business and public administration as well as in the research and education sector.  The Department of Mathematical Sciences  is one of seven departments in the Faculty of Information Technology and Electrical Engineering  .


Requirements
Research Field
Mathematics » Statistics
Education Level
PhD or equivalent

Additional Information
Work Location(s)
Number of offers available
1
Company/Institute
NTNU - Norwegian University of Science and Technology
Country
Norway
Geofield


Where to apply
Website

https://www.jobbnorge.no/en/available-jobs/job/258040/postdoctoral-fellow-in-st…

Contact
City

Trondheim
Website

http://www.ntnu.no
Postal Code

N-7491

STATUS: EXPIRED

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