[CODATA - Data Science Training] PhD Candidate in Machine Learning

Felix Emeka Anyiam felixemekaanyiam at gmail.com
Fri Oct 11 02:48:58 EDT 2019


About the position

The Department of Computer Science has a vacancy for a PhD position within
machine learning related to digital rocks

About the position

We have a vacancy for a PhD candidate at the Department of Computer Science
at NTNU’s Trondheim campus. The work will be carried out in close
collaboration with the company Pericore and will be affiliated with the
Norwegian Open AI Lab. The candidate will perform research on
next-generation machine learning methods related to digital rocks, in
particular the development of new deep learning tools to process
three-dimensional micro-tomographic images.

The PhD position is for three years.

The position reports to head of department

The human's future depends on our capacity to stop emitting CO2 to the
atmosphere while keep growing to reduce poverty and improving the quality
of life in developing countries. In this scenario, technologies such as
Carbon dioxide Capture and Storage (CCS) and more efficient O&G production
will play a very important role. The derivation of rock properties from
high-resolution images (Digital Rocks) is a disruptive technology in that
it can fundamentally alter how the industry measures the basic rock
properties. This technology is based on the use of high-resolution 3D
images to derive digital models of reservoir rocks.

Main duties and responsibilities

The human's future depends on our capacity to stop emitting CO2 to the
atmosphere while keep growing to reduce poverty and improving the quality
of life in developing countries. In this scenario, technologies such as
Carbon dioxide Capture and Storage (CCS) and more efficient O&G production
will play a very important role. The derivation of rock properties from
high-resolution images (Digital Rocks) is a disruptive technology in that
it can fundamentally alter how the industry measures the basic rock
properties. This technology is based on the use of high-resolution 3D
images to derive digital models of reservoir rocks.

Qualification requirements

The PhD-position's main objective is to qualify for work in research
positions. The qualification requirement is completion of a master’s degree
or second degree (equivalent to 120 credits) with a strong academic
background in [subject area] or equivalent education with a grade of B or
better in terms of NTNU’s grading scale
<https://innsida.ntnu.no/wiki/-/wiki/English/Grading+scale>. Applicants
with no letter grades from previous studies must have an equally good
academic foundation. Applicants who are unable to meet these criteria may
be considered only if they can document that they are particularly suitable
candidates for education leading to a PhD degree.

The position requires strong English oral and written skills (interacting
with an international team, academic work, progress reports etc.)

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, postdoctor and research assistant

Other qualifications:

   - Excellent written and oral English (excellent written and oral
   Norwegian or Scandinavian language skills are a plus but not a requirement).
   - Excellent programming skills and good knowledge of key programming
   languages and frameworks used in date science and machine learning.
   - Ability to work independently as well as collaboratively.

Applicants from non-English speaking countries outside EU/EEA/Switzerland
must provide preliminary documentation of English language proficiency, in
terms of an approved test. The following tests can be used: TOEFL, IELTS
and Cambridge Certificate in Advanced English (CAE) or Cambridge
Certificate of Proficiency in English.

Further assessment of both written and oral English language skills and the
ability to communicate fluently may be conducted in the continued selection
process and during any interview for all applicants, including those
providing the required documentation of English proficiency.

NTNU is committed to following evaluation criteria for research quality
according to The San Francisco Declaration on Research Assessment - DORA.
<http://www.ascb.org/wp-content/uploads/2017/07/sfdora.pdf>

Personal characteristics

We seek a candidate that is motivated, has good communication and
networking skills, is proactive and forthcoming, and able to work
independently if needed. The successful candidate should be creative and
demonstrate persistence in addressing challenging research problems.

   - Strong analysis skills (e.g. abstract and mathematical thinking)
   - Strong writing skills (e.g. synthesizing and expressing complex ideas
   clearly)
   - Team player, collaborative, respectful and value the inputs and
   opinions of others
   - Self-motivated, ambitious, resourceful, result-oriented, and
   independent

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
advertisement

We offer

   - exciting and stimulating tasks in a strong international academic
   environment
   - an open and inclusive work environment
   <http://innsida.ntnu.no/wiki/-/wiki/Norsk/Inkluderende+arbeidsliv> with
   dedicated colleagues
   - favourable terms in the Norwegian Public Service Pension Fund
   <https://www.spk.no/en/>
   - employee benefits
   <https://innsida.ntnu.no/wiki/-/wiki/Norsk/Ansattegoder+og+fordeler>

Salary and conditions

PhD candidates are remunerated in code 1017, and are normally remunerated
at gross from NOK 479 600 before tax per year. From the salary, 2 % is
deducted as a contribution to the Norwegian Public Service Pension Fund.

The period of employment is 3 years. Appointment to a PhD position requires
admission to the PhD programme in Computer Science at NTNU in Trondheim,
(see https://www.ntnu.edu/studies/phit).

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
months.

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 criterias 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.

General information

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
applicants.

The national labour force must reflect the composition of the population to
the greatest possible extent, NTNU wants to increase the proportion of
women in its scientific posts. Women are encouraged to apply. Furthermore,
Trondheim offers great opportunities for education (including international
schools) and possibilities to enjoy nature, culture and family life (
http://trondheim.com/). Having a population of 200 000, Trondheim is a
small city by international standards with low crime rates and little
pollution. It also has easy access to a beautiful countryside with
mountains and a dramatic coastline.

Questions about the position can be directed to Professor Frank Lindseth,
email: frankl at ntnu.no or to the Head of department John Krogstie, email:
john.krogstie at ntnu.no.

About the application:

*The application must contain:*

   - One-page cover letter including an explanation of how the candidate’s
   research interests and background would fit the position.
   - CV with information about education and relevant experience.
   - Copies of academic diplomas, transcripts, and certificates (Applicants
   from universities outside Norway are kindly requested to include a document
   describing in detail the study and grading system).
   - A short essay (up to 1000 words) describing the candidates’ view on
   current state-of-the-art methods and research challenges related to deep
   learning based segmentation of 3D images in general.
   - Any publications relevant to the research scope or any other work
   which the applicant wishes to be taken into account, e.g. their master
   thesis.
   - Names and contact information of at least three references.

Publications and other academic works that the applicant would like to be
considered in the evaluation must accompany the application. Joint works
will be considered. If it is difficult to identify the individual
applicant's contribution to joint works, the applicant must include a brief
description of his or her contribution.

Please submit your application electronically via jobbnorge.no with your
CV, diplomas and certificates. Applications submitted elsewhere will not be
considered. Diploma Supplement is required to attach for European Master
Diplomas outside Norway. Chinese applicants are required to provide
confirmation of Master Diploma from China Credentials Verification (CHSI):
http://www.chsi.com.cn/en/).

Applicants invited for interview must include certified copies of
transcripts and reference letters.

Please refer to the application number 2019/31686 when applying.

Application deadline: 31.10.2019

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 Computer Science

We are the leading academic IT environment in Norway, and offer a wide
range of theoretical and applied IT programmes of study at all levels. Our
subject areas include hardware, algorithms, visual computing, AI,
databases, software engineering, information systems, learning technology,
HCI, CSCW, IT operations and applied data processing. The Department has
groups in both Trondheim and Gjøvik. The Department of Computer Science
<https://www.ntnu.edu/idi>is one of seven departments in the Faculty of
Information Technology and Electrical Engineering  <https://www.ntnu.no/ie>.

Deadline 31st October 2019
Employer NTNU - Norwegian University of Science and Technology
<http://www.ntnu.no/>
Municipality Trondheim
Scope Fulltime
Duration Temporary
Place of service Trondheim

-- 

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

http://www.uniport.edu.ng/centres/170-centre-for-health-and-development-chd.html

*The CODATA-RDA School of Research Data Science, ICTP, Trieste Italy
Alumni  <https://vimeo.com/232209813>*

 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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