[CODATA - Data Science Training] Phd Fellowship in Spatial and Spatio-Temporal Statistics
Felix Emeka Anyiam
felixemekaanyiam at gmail.com
Sat Feb 16 08:47:13 EST 2019
*About the position*
PhD fellowship(s) in spatial and spatio-temporal statistics are available
at the Department of Mathematical Sciences at NTNU. The successful
candidate will be offered a three-year position. The Department may offer a
twelve month extension as a teaching assistant. The work place will be
The positions are part of the project "Geophysics and Applied Mathematics
for Exploration and Safe Production", funded by The Research Council of
Norway. The main topics of the project are spatial and spatio-temporal
statistical models, and methods for data assimilation and efficient
monitoring in geosciences applications. Mathematical modeling and parameter
estimation in complex statistical models will be the major subjects of
study. The candidate is expected to conduct research in one of the areas of
the project under the supervision of a permanent member of the statistics
group participating in the project.
We are looking for highly motivated candidates with strong background and
interest in probability and statistics.
The applicant must have a master’s degree in statistics or corresponding
education, and must also satisfy the requirement for entering the PhD
programme at NTNU; please see http://www.ntnu.edu/ie/research/phd
<https://www.ntnu.edu/ie/research/phd>. The admission to PhD education at
NTNU requires an average grade of A or B within a scale of A-E for passing
grades (A best) for the last two years of the MSc, and C or higher for the
MSc students who expect to complete their master’s degree studies by summer
2019 are also encouraged to apply. Employment will then be postponed until
the master’s degree is finished.
The applicants who do not master a Scandinavian language must document a
thorough knowledge of English (equivalent to a TOEFL score of 600 or more).
The appointment is to be made in accordance with the regulations in force
concerning State Employees and Civil Servants and national guidelines for
appointment as PhD, post doctor and research assistant.
In the evaluation of which candidate is best qualified, emphasis will be
placed on education, experience and personal suitability, as well as
motivation, in terms of the qualification requirements specified in the
- exciting and stimulating tasks in a strong international academic
- an open and inclusive work environment with dedicated colleagues
- favourable terms in the Norwegian Public Service Pension Fund
- employee benefits
*Salary and conditions*
PhD candidates are remunerated in code 1017, and are normally remunerated
at gross from NOK 449 400 per annum before tax. From the salary, 2% is
deducted as a contribution to the Norwegian Public Service Pension Fund.
A PhD fellow who speaks a Scandinavian language will be employed for 4
years with teaching and other duties of approximately 25% of the total
available time. A PhD fellow who does not master a Scandinavian language
will be offered a 3-year appointment.
Appointment to a PhD position requires admission to the PhD programme in
Mathematical Sciences; please see http://www.ntnu.edu/ie/research/phd
<https://www.ntnu.edu/ie/research/phd>for information about the PhD
programme at NTNU.
As a PhD candidate, you undertake to participate in an organized PhD
programme during the employment period. A condition of appointment is that
you are in fact qualified for admission to the PhD programme within three
Appointment takes place on the terms that apply to State employees at any
time, and after the appointment you must assume that there may be changes
in the area of work.
Working at NTNU <https://www.ntnu.edu/nirs>
A good work environment is characterized by diversity. We encourage
qualified candidates to apply, regardless of their gender, functional
capacity or cultural background. Under the Freedom of Information Act
(offentleglova), information about the applicant may be made public even if
the applicant has requested not to have their name entered on the list of
Questions about the position can be directed to Jo Eidsvik, email:
jo.eidsvik at ntnu.no or Håkon Tjelmeland, email: haakon.tjelmeland at ntnu.no .
*About the application:*
The application must include the following:
- CV which includes information about education background and work
- Certified copies of relevant transcripts and diplomas. Candidates from
universities outside Norway are kindly requested to send a Diploma
Supplement or similar documentation, which describes in detail the program
of study, the grading system, and the rights to further studies associated
with the degree obtained.
- Contact information for two references.
- Documentation of fluency in the English language.
Please submit your application electronically via jobbnorge.no
Preferably, the attachments should be submitted as a single file.
Please refer to the application number *2019/6216* when applying.
Applicants who have been short-listed will be invited for interviews.
Application deadline: *15.03.2019*.
*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
<https://www.ntnu.edu/imf> is one of seven departments in the Faculty of
Information Technology and Electrical Engineering <https://www.ntnu.edu/ie/>
*Employer* NTNU - Norwegian University of Science and Technology
*Place of service* Gløshaugen
Felix Emeka Anyiam
*Research Officer & Data Analyst/Scientist*
Centre for Health and Development
University of Port Harcourt (UNIPORT)
Top Floor, Medical Library Building
University of Port Harcourt Teaching Hospital (UPTH), Port Harcourt
River State, Nigeria.
ORCID ID: http://orcid.org/0000-0003-2774-7406
Skype ID: @felix.emeka.anyiam
tel: +234 (0) 806 499 5462
email: chd at uniport.edu.ng
*The CODATA-RDA School of Research Data Science, ICTP, Trieste Italy
I don't mind not knowing. It doesn't scare me. - Richard Feynman
To consult the statistician after an experiment is finished is often merely
to ask him to conduct a post mortem examination. He can perhaps say
what the experiment died of. -Ronald A. Fisher.
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