Tag-arkiv: NTNU

Position as PhD candidate in Artificial Intelligence

About the position

About the position
We have a vacancy for a PhD fellow at NTNU’s Trondheim campus.
The fellow will be affiliated with the Norwegian Open AI Lab (see https://www.ntnu.edu/ailab), and will mainly perform research on next-generation machine learning methods, taking advantage of recent advances in machine learning, stochastic optimization, probabilistic graphical models, and deep learning.  The research results are expected to be applicable in several domains, including Internet of things (IoT), telecommunication, geoscience, natural language understanding, human computer interaction, etc.
 

The position reports to the Head of the Department, Professor John Krogstie, who is collaborating with Professor Ole Jakob Mengshoel.  Professor Mengshoel, the Head of the Norwegian Open AI Lab, holds an appointment in CS at NTNU (see https://www.ntnu.edu/employees/ole.j.mengshoel) and in ECE at CMU (see https://www.ece.cmu.edu/directory/bios/mengshoel-ole.html).
 

Main duties and responsibilities

Machine Learning (ML) is increasingly used in many different applications. Recent advances, for example in recommender systems, autonomous driving, natural language, and Web search, are partially due to substantial progresses in ML. Within ML, the recent and ongoing dramatic improvements in data acquisition capabilities are presenting new challenges and opportunities. For example, the new telecommunications 5G pilot running in Trondheim from the autumn of 2019 presents new opportunities, as does ESA’s Copernicus project (see https://scihub.copernicus.eu/).   In the telecommunications area, research focus on IoT or 5G is of special interest, based on sensor data as well as network and signalling data. 


Despite early successes, the current state-of-the-art in ML suffers from some drawbacks, making it difficult to introduce in certain applications. In this PhD project, we will investigate and develop novel ideas at the interface of machine learning, stochastic optimization, probabilistic graphical models, and deep learning in order to address some of the deficiencies in the field. Particular focus will be placed on AI that is not only accurate, but trustworthy and explainable. You will carry out research on this topic in collaboration with Prof. Ole Jakob Mengshoel. The focus will be on theory, method and data. Data may come from real-world sensors or from simulations. 


The appointment is for a term of 4 years, with duties equivalent to 25 %. Duty work will primarily be related to support of educational tasks, but can also involve other tasks (for example related to project, presentations, and administration).  This is a researcher training position aimed at providing promising future researchers the opportunity of academic development in the form of a doctoral degree.
 

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 Artificial Intelligence, Computer Engineering, Computer Science, Machine Learning, (Applied) Mathematics, Statistics or equivalent education with a grade of B or better in terms of NTNU’s 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.

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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

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

Other qualifications

The candidate should have the following qualifications:

  • Strong background in one or more of artificial intelligence, computer science, machine learning, or optimization
  • Strong applied mathematical skills – in one or more of discrete mathematics, mathematical modelling, optimization theory, probability, statistics, or theoretical computer science
  • Excellent programming skills – in one or more of: C++, Java, Julia, Lisp, Python, R, or Scala
  • Excellent written and oral English; excellent written and oral Norwegian language skills are a plus but not a strict requirement
  • Ability to work independently as well as collaboratively

The following qualifications will be considered as an advantage:

  • Hands-on expertise with incremental machine learning from massive IoT data sources
  •  Experience with AI or statistical methods including anomaly detection; learning from low quality, noisy, or missing data; time series analysis; transfer learning; and uncertainty handling using probabilistic graphical models
  •  Excellent written and oral Scandinavian language skills

Applicants who do not master a Scandinavian language must provide evidence of good English language skills, written and spoken. The following tests can be used as such documentation: TOEFL, IELTS or Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE). Minimum scores are as follows:

  • TOEFL: 600 (paper-based test), 94 (Internet-based test);
  •  IELTS: 6.5, with no section lower than 5.5 (only Academic IELTS test accepted); or
  • CAE/CPE: grade B or A.

In extraordinary circumstances, formal documentation of language skills can be relinquished. In such cases, the candidate’s language skills will be assessed in a personal interview.

Potentially successful candidates may be interviewed in person, via Skype (or similar), or via other means.

Personal characteristics

  • Strong analysis skills, capabilities for abstract and mathematical thinking as well as programming and working with data from experiments and applications
  • Strong writing skills, capable of synthesizing and expressing complex ideas clearly
  • Team player, collaborative, respectful; values the inputs and opinions of others
  • Self-motivated, ambitious, resilient, 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

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 4 years (with required duties). Appointment to a PhD position requires admission to the PhD programme in the Department of 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.

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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 Prof. Ole Jakob Mengshoel, at e-mail ole.j.mengshoel@ntnu.no  or to Prof. John Krogstie, at e-mail john.krogstie@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
  • Information about education and relevant experience (academic CV)
  • 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 and the rights for further studies associated with the candidate’s obtained degree
  • A short essay (up to 1000 words) describing his/her view of the main research challenges in the area of research discussed under “About the doctoral project” above
  • Any publications relevant to the research scope and any other work which the applicant wishes to be taken into account – they should clearly indicate the applicant’s contribution
  • 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 2019/22268 when applying.

Application deadline: 30.09.2019

Hovedbygningen

NTNU – knowledge for a better world

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 is one of seven departments in the Faculty of Information Technology and Electrical Engineering .

Read the job description at the university homepage

Apply for this job

Deadline

30th September 2019

Post expires on Monday September 30th, 2019

PhD scholarship in sustainable design and renewable energy

About the position

The Department of Design (ID) is offering a PhD-scholarship in the research area of sustainable design and renewable energy, for a period of 3 years.

At present, the Department of Product Design is engaged in research and education in the areas of Interaction Design, Design for Sustainability and Systems and Service Design. https://www.ntnu.edu/design/research. In 2011, ID established a research group in sustainable design, focusing among others on renewable energy, technology and stakeholder inclusion. Members of this group are currently responsible for two nationally funded research projects MSESSD and SAMAJ in Nepal (see below). The department wishes to strategically expand the research and teaching activities in this group.

The announced PhD position is within the Strategic Research Area ‘NTNU Energy’ https://www.ntnu.no/energi. ‘NTNU Energy’ suggests connecting research on energy-related projects in Low and Middle Income Countries in Asia and Africa. The position will relate to existing expertise from these projects and generate knowledge for NTNU ‘Energy’ and for the following projects.

•       NORAD/ EnPe project on Energy for Sustainable Social Development, MSESSD (Nepal) at ID, http://msessd.ioe.edu.np/.

•       NORPART mobility project on “Transdisciplinary Education for a Sustainable Society”, SAMAJ(Nepal) at ID.

•       EnPe project on renewable energy (Capacity5 network project, Ethiopia, Uganda, Tanzania, Mozambique.             

•       NORPART Mobility project on «Energy Technology» (Tanzania, University of Dar es Salaam).

The position comprises a comparative research and possible iteration or redesign of renewable energy systems in rural and peri-urban areas in Nepal and Tanzania. Background is the necessity for a balanced regional development in Nepal and Tanzania, where energy access is a basic enabler for poverty reduction, health improvement and economic progress. Findings from the projects above show that 1) technical skills and social responsiveness have equal importance when designing and implementing renewable energy solutions; 2) renewable energy solutions have most impact when stakeholders are included; 3) designers can facilitate this inclusion.

The position reports to Head of department, Ole Andreas Alsos. 

Main duties and responsibilities

Renewable energy has been explored in a long-term collaboration between NTNU and African, as well as Nepalese Universities. The PhD position will be built on project experiences from design, renewable energy technology, and stakeholder collaboration activities in Nepal and Tanzania.

The candidate will be part of a research team comprising participants from the projects above. The main supervisor will be from Department of Design, the co-supervisor from the Department of Energy and Process Engineering. Experts from Nepal and Tanzania will supplement the team.

The PhD research should contribute to the following goals:

  • Explore cross country synergies from the Nepal and Tanzania experiences within the area of small-scale renewable energy systems.
  • Explore potentials for using similar technology in Nepal and Tanzania
  • Explore potentials for using similar strategies for stakeholder inclusion in Tanzania and Nepal. 
  • Promote Nepal-Tanzania collaboration on renewable energy challenges

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 sustainable design or rural renewable energy design, or equivalent education with a grade of B or better in terms of NTNU’s 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.

We wish specially to get in touch with applicants who can document previous experience in the areas of research design for renewable energy and stakeholder involvement. Candidates for the position should also be motivated to work in an interdisciplinary team, exploring renewable energy technology, and social aspects of solutions. This work comprises e.g. testing a particular institutional solar cooking system developed by the Department of Energy and Process Engineering at NTNU.

Applicants are asked to supply a letter of introduction describing the motivation for seeking a PhD study within the area of design and implementation of renewable energy solutions in rural areas of Low and Middle Income Countries.

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

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

Other qualifications

  • The successful applicant will be based at the NTNU’s Department of Design in Trondheim.
  • Applicants must be fluent in English and preferably also in a Scandinavian language.
  • Applicants are asked to supply a letter of introduction describing the motivation for seeking a PhD study within the area of design and implementation of renewable energy solutions in rural areas of Low and Middle Income Countries.

Personal characteristics

 The candidate should be committed to research, hard-working, and show a responsible attitude toward designing renewable energy solutions  
 for rural stakeholders.

In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal suitability, in terms of the qualification requirements specified in the advertisement.

We offer

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, starting from 1 January 2020. Appointment to a PhD position requires admission to the PhD programme in Design.

The PhD candidate participates in an organized PhD programme during the employment period. A condition of appointment is that the applicant in fact are 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

Working at NTNU

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  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 Martina Keitsch, phone number +47 41 01 84 34, e-mail: martina.keitsch@ntnu.no

About the application

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).

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

Please refer to the application number AD-30/19 when applying.

Application deadline: 30.09.2019

Hovedbygningen

NTNU – knowledge for a better world

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 Design

We are located in both Trondheim (industrial design) and Gjøvik (graphic design and web technology). Both groups have expertise in interaction design and share research interests in health and welfare technology. The design environment links many technology communities at NTNU, and nationally the Department has extensive collaboration with Norwegian industrial companies. The Department of Design is one of four departments in the Faculty of Architecture and Design.

Read the job description at the university homepage

Apply for this job

Deadline

30th September 2019

Post expires on Monday September 30th, 2019

PhD position “Facilitating Policy Analysis using Agent-based Modelling”

About the position

The Department of Computer Science (IDI) (https://www.ntnu.no/idi), under the Faculty of Information Technology and Electrical Engineering (IE) at the Norwegian University of Science and Technology (NTNU) has a vacancy for a PhD candidate position at the Department of Computer Science, Gjøvik, Norway.

The advertised PhD fellowship focuses on the evaluation of policy changes (e.g., laws, regulations) using agent-based simulation and machine learning techniques. For this fellowship, we will employ principles of institutional analysis to develop computational tools and techniques for the development of agent-based models from policy specifications.

The successful PhD student will analytically investigate existing policies, participate in the development of encoded policy datasets, conceptualize and implement technical solutions to automate the generation of corresponding simulation models. As an outcome of this fellowship, the student will contribute to the methodological discussion of policy analysis, gain expertise in the development of analytical toolsets, and be proficient in developing agent-based models to analyze policy change in social-scientific domains (e.g., public policy, socio-ecological systems, political economy).

The position reports to Head of Department

Main duties and responsibilities

  • Analysis of specified policy scenarios and datasets, e.g., using agent-based models in conjunction with other methods
  • Development of agent-based modelling framework components
  • Development of necessary auxiliary software components (e.g., for facilitating data analysis)
  • Participate in dissemination activities (authoring reports, papers and articles; presenting at conferences/symposia, etc.)
  • Support the preparation and delivery of taught courses (if seeking a 4-year position; see Salary and Conditions for details)

Qualification requirements

PhD candidate:
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  Computer Science/Informatics/Computational Social Science or equivalent education with a grade of B or better in terms of NTNU’s 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. Note: This position will not support applicants who already hold a doctoral degree/PhD.

The candidate should be proficient in software development, a) including (but not limited to) experience with the use of general-purpose programming languages (such as C++ and Java), and b) the development of software frameworks. Ideally, the candidate has experience with statistical toolkits such as R. Knowledge of scripting languages is of additional value for the position, but not sufficient in its own right.

In addition, experience in one or more of the following domains is desirable: agent-based modelling (and platforms), natural language processing, applied machine learning, large-scale data processing and analysis. It is expected that the successful applicant develops proficiency in further areas relevant to this duties associated with this position.

Beyond the technical abilities, a focal aspect in the evaluation process is the candidate’s aptitude for the research theme, ability to think analytically and systematic problem solving, along with the fit into the project and research environment.

Desirable personal qualities include the ability to work independently as well as in team settings, a high level of initiative, personal responsibility and communication skills. The successful candidate should be creative, with a strong ability to work problem-oriented. Candidate should also enjoy interdisciplinary research and be open to interacting with domain experts outside the candidate’s discipline.

Applicants must provide evidence of good English language skills, written and spoken. The following tests can be used as such documentation: TOEFL, IELTS or Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE). Minimum scores are:

  • TOEFL: 600 (paper-based test), 92 (Internet-based test),
  • IELTS: 6.5, with no section lower than 5.5 (only Academic IELTS test accepted),
  • CAE/CPE: grade B or A.

In extraordinary circumstances, formal documentation of language skills can be relinquished. In such cases, the candidate’s language skills will be assessed as part of a personal interview.

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

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

Personal characteristics

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

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, but preferable 4 years (including an equivalent of 1 year of additional duties distributed over the employment period). Appointment to a PhD position requires admission to the PhD programme in Computer Science (https://www.ntnu.edu/studies/phdcs).

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. NTNU is a multi-campus university (with the main campus in Trondheim, and further campuses in Gjøvik and Ålesund). The advertised position is situation at NTNU’s campus Gjøvik, NTNU’s most Southern campus. Being situated at the largest inland lake of Norway, Gjøvik has a scenic setting and international workforce and is in close proximity to Norway’s largest international airport. Gjøvik offers great opportunities for education (including international schools) and possibilities to enjoy nature, culture and family life.

Questions about the PhD position, please contact Associate Professor Christopher Frantz, e-mail: christopher.frantz@ntnu.no, Professor Marius Pedersen, Leader of IDI Gjøvik, e-mail: marius.pedersen@ntnu.no or Head of the Department of Computer Science Professor John Krogstie, e-mail: john.krogstie@ntnu.no.

About the application:
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.

The application must contain:

  • Statement of Purpose. The statement includes the applicant’s motivation for the advertised position and elaborate on how the applicant’s background fits into this project, including skills beyond the ones listed as part of the requirements. In the statement the candidate shall highlight the opportunities of computational policy modelling, how the candidate would approach modelling policy, and which aspects of modelling policy the applicant deems most challenging. The Statement of Purpose should further discuss how the applicant’s specific competence can contribute to addressing these challenges and outline policy areas of interest. As part of this document, please also indicate your availability (start date). (2 pages)
  • Curriculum Vitae (CV) with information about prior education, evidence of English language proficiency, training and work experience, as well as other information substantiating claims made in the Statement of Purpose.
  • Certified copies of transcripts and diplomas
    • Applicants from universities outside Norway are kindly requested to send a diploma supplement or a similar document, which describes in detail the study and grading system and the rights for further studies associated with the obtained degree
  • Contact information for at least 2 references
    •  References will only be contacted if the candidate is shortlisted.
  • A copy of the master thesis (in PDF), or, for those who are near to completion of their MSc, an extended abstract combined with a statement indicating the anticipated completion of the thesis
  • Link to developed software project(s) (if applicable)
  • Selection of maximum two publications in English language (if applicable)
  • List of publication(s) (if applicable)

The application should be written in English language. Incomplete applications will not be taken into consideration.

Please submit your application electronically via jobbnorge.no with your CV, diplomas and certificates (more details below). Incomplete applications, or applications submitted elsewhere will not be considered. A Diploma Supplement is required for European Master Diplomas outside Norway. Chinese applicants are required to provide confirmation of their 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 number2017/17105 when applying.

Application deadline: 30.08.2019

Hovedbygningen

NTNU – knowledge for a better world

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 is one of seven departments in the Faculty of Information Technology and Electrical Engineering .

Read the job description at the university homepage

Apply for this job

Deadline

30th August 2019

Post expires on Friday August 30th, 2019

Postdoctoral research position at the Department of Biology

About the position

Reversible seasonal migration is a key trait that allows many animal populations to inhabit seasonally varying environments. Yet, the rate at which seasonal migration could potentially evolve in contemporary populations, and thereby facilitate ‘evolutionary rescue’ from changing seasonal environments, has scarcely been considered. This is despite the fact that the occurrence of seasonal migration versus year-round residence commonly varies substantially among individuals within populations, implying that some combination of genetic and proximate environmental variation in migration propensity commonly exists. Progress requires estimation of key components of additive genetic variation and covariation in free-living populations, which in turn requires development of statistical methods and major datasets. Accordingly, the overarching aims of the postdoctoral position will be to develop statistical models that can rigorously estimate key quantitative genetic parameters from mark-resighting data, and to apply these methodologies to spatially-extensive data from a system of partially-migratory European shags.

Main duties and responsibilities

The postdoctoral researcher will be involved with two primary scientific objectives. The first objective will be to devise and validate new statistical models that allow estimation of key quantitative genetic parameters regarding seasonal movement from multi-state mark-resighting/recapture data. These models will allow parameter estimation from datasets where focal individuals can be observed in multiple seasonal locations, but not all individuals are observed on any occasion (as commonly occurs in field studies of seasonally-mobile species). The second objective will be to implement such analyses using the European shag dataset, which affords a currently unrivalled opportunity to provide first estimates of key evolutionary parameters. This objective will also involve major components of data-checking and validation, and may include some molecular genetic analyses. The researcher will be expected to publish results in the form of high-quality papers that appeal to a wide scientific audience.

The successful applicant will work primarily with Professor Jane Reid at NTNU, and will be further supported by Professors Bob O’Hara, Ingelin Steinsland and Steffi Muff (NTNU) for development of statistical methods, and by Dr Francis Daunt (UK Centre for Hydrology & Ecology) regarding the dataset. The post therefore provides an exciting opportunity for the researcher to work within an outstanding team of statisticians and ecologists. They will further benefit from being embedded within the stimulating wider research environment of the Centre for Biodiversity Dynamics. There will also be opportunities to participate in aspects of teaching and student supervision, and thereby gain wider professional experience, as desired.

Qualification requirements

A postdoctoral research fellowships is a qualification position in which the main objective is qualification for work in academic positions.

We seek candidates who have a strong academic record, strong interests and demonstrated expertise in statistical ecology and/or quantitative genetics, and enthusiasm for the challenges of confronting ecological and evolutionary theory with complex field datasets. Key attributes are as follows:

  • Essential: PhD in quantitative ecology or evolutionary biology with strong statistical and data-modelling components, or a PhD in statistics with application to ecological or evolutionary questions and datasets.
  • Essential: Enthusiasm to undertake and extend complex statistical models, and to make new models accessible for other users.
  • Essential: Strong conceptual background in population and/or evolutionary ecology.
  • Essential: Demonstrated capability to bring projects to conclusion in the form of high-quality primary papers.
  • Highly desirable: Expertise in multi-state or multi-event mark-recapture analyses, including capability to code, analyse and validate such models in diverse platforms (ideally including Bayesian approaches).
  • Desirable: Familiarity with quantitative genetic approaches in evolutionary ecology, in particular ‘animal models’.
  • Desirable: Experience of collecting, managing and analysing complex mark-resighting datasets from wild populations. Experience of, or demonstrated enthusiasm for, working in the context of seasonal movement ecology would be a further advantage.

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

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

Personal characteristics

  • Essential: Excellent team-working skills. Desire to work closely as part of a research team spanning ecology, evolution and statistics. Desire to contribute substantially to the working environment of the Centre for Biodiversity Dynamics, alongside capability to make progress independently.
  • Essential: Excellent communication skills in written and oral English.

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

Salary and conditions

Postdoctoral candidates are remunerated in code 1352, and are normally remunerated at gross from NOK 523 200 before tax per year. From the salary, 2 % is deducted as a contribution to the Norwegian Public Service Pension Fund.

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.

Enquiries about the position are very welcome, and can be directed to Prof. Jane Reid, e-mail: jane.reid@abdn.ac.uk

About the application:
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. Applicants invited for interview must include certified copies of transcripts and reference letters. Please refer to the application number NV-79/19 when applying.

Application deadline: 31.08.19

Hovedbygningen

NTNU – knowledge for a better world

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.

The Faculty of Natural Sciences

The Faculty of Natural Sciences is a key player in national and international research and education programmes in natural sciences and technology. Our research focuses on global challenges in the areas of energy, climate, the environment, food, water, health and welfare. The Faculty consists of eight departments as well as the Faculty Administration.

Read the job description at the university homepage

Apply for this job

Deadline

31st August 2019

Post expires on Saturday August 31st, 2019

PhD position in Natural Language Processing for Political Mining

About the position

We have a vacancy for a 100% PhD position at the Department of Computer Science (IDI) at Faculty of Information Technology and Electrical Engineering (IE).

This position is one of 4 positions within the Trondheim Analytica project. The project is in NTNU’s strategic portfolio of projects to pursue transformative research on the development and application of digital transformation technology (https://www.ntnu.edu/digital-transformation). Multidisciplinarity is a key objective in all the projects, and close cooperation between the PhD research fellows and the disciplines is essential for Trondheim Analytica. The appointment is for a term of 4 years including 25% teaching assistance.

The position reports to Head of the Department.

Main duties and responsibilities

The PhD candidate will investigate how social media users’ political emotions and viewpoints can be automatically identified in real-time. Collecting users’ posts, references to other posts, and social links between users, the project will seek to uncover textual user features that signal political preferences and align users with respect to pre-defined political and emotional profiles.

The candidate will develop new natural language processing techniques for extracting political viewpoints from social media. This includes using deep learning and language modeling techniques like word embedding to represent text semantics and classify text into political categories. Of particular interest are the challenges related to real-time processing of social media users’ content and interpreting short and ambiguous user postings

Qualification requirements

PhD candidate:
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. 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 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

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

Candidates completing their MSc degree in the spring of 2019 are encouraged to apply. The position is also open for integrated PhD for NTNU students starting their final year of their master degree in autumn 2019; see https://www.ntnu.no/ie/forskning/integrertphd for information about integrated PhD.


Other qualifications

  • The main working language is Norwegian and English. As the informants are mostly Norwegian, written and oral skills in a Scandinavian language is desired, but not required.
  • Applicants who do not master a Scandinavian language must provide evidence of good English language skills, written and spoken. The following tests can be used as such documentation: TOEFL, IELTS or Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE). Minimum scores are:
    • TOEFL: 600 (paper-based test), 92 (Internet-based test)
    • IELTS: 6.5, with no section lower than 5.5 (only Academic IELTS test accepted)
    • CAE/CPE: grade B or A

Relevant background: A solid background in natural language processing and text analytics is essential, and good programming skills are required. Experience with machine learning, linked data and information retrieval is preferable.

Personal characteristics

  • Excellent analytical skills
  • Ability to work independently as well as in teams
  • Proven cooperation and communication skills

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

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 4 years with or without required duties. Appointment to a PhD position requires admission to the PhD programme in Computer Science. 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.

Questions about the position can be directed to Professor Jon Atle Gulla, e-mail: jag@ntnu.no, or Head of the Department Professor John Krogstie, e-mail: john.krogstie@ntnu.no.

About the application:

  • The application must contain:
  • Curriculum vitae (CV) with information about the candidate’s prior training, exams, and work experience
  • Certified copies of transcripts and diplomas
  • Applicants from universities outside Norway are kindly requested to send a diploma supplement or a similar describes in detail the study and grading system and the rights for further studies associated with the obtained degree
  • Research statement (max. 3 pages) including a short presentation of the motivation for a PhD study, discussion of the relevance of the applicant’s background to the position, and the applicant’s view of research challenges within the area of the PhD position.
  • Names and contact information of at least 2 reference persons
  • A copy of the master thesis (in PDF), or, for those who are near to completion of their MSc, an extended abstract combined with a statement of how and when the applicant plans to complete the thesis (1 page, delivery of master thesis no later than June 30th.)

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 2018/11397 when applying.

Application deadline: 31.08.2019

Hovedbygningen

NTNU – knowledge for a better world

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 is one of seven departments in the Faculty of Information Technology and Electrical Engineering .

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Apply for this job

Deadline

31st August 2019

Post expires on Saturday August 31st, 2019

PhD fellowship in Information Systems/Computer-Supported Cooperative Work focusing on data science in practice

About the position

The Department of Computer Science (IDI) at NTNU has a vacancy for one PhD fellowship in the intersection between the Information Systems and Computer-Supported Cooperative Work (CSCW). We are seeking a talented master graduate with a passion for conducting empirical studies of work practices in data science. The position will be affiliated with the Applied Information Technologies (AIT) group at IDI.

Data science (sometimes used interchangeably with big data or business analytics) encompasses problem definitions, principles, algorithms, and processes that can be combined in different ways to develop insights from large datasets.

The goal of this PhD fellowship is to complement existing technological perspectives, with a sociotechnical analysis of data science in practice. The focus on data science in practice will rely on a cross-disciplinary perspective, based on two academic areas of Information Systems and Computer-Supported Cooperative Work (CSCW), to flesh out the social and technical factors that concur in the work of data science. This perspective includes an analysis of the day-to-day practices, work processes, and information systems and infrastructures adopted by data scientists (sometimes called data managers) to prepare, integrate, and make sense of heterogeneous datasets in constantly evolving contexts.

At IDI, we are frontrunners in the study of data-driven digitalization processes in different business sectors. There are several ongoing initiatives at IDI that are relevant for this position. The empirical study will therefore be conducted via existing collaborations with one or more organizations in the following domains: offshore operations in the energy industry, long-term environmental monitoring, and outsourcing of ICT services.

The main research strategy that the PhD fellow is expected to adopt will be based on empirical methods, mainly qualitative data collection and analysis. The adoption of other approaches, such as mixed methods, can be considered as an addition.

The position reports to Head of department

Main duties and responsibilities

  • Conduct extensive empirically grounded research on the work of data scientists in public and private organizations
  • Contribute to the state of the art by developing a theoretical framework to describe the findings and inform ongoing digitalization processes
  • Publish in international conferences and journals in the relevant fields
  • Participate in the professional community within the relevant areas of IDI

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 Information Systems, Information Science CSCW, or equivalent education with a grade of B or better in terms of NTNU’s 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 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

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

In addition, the applicant should meet the following requirements:

  • Have a background with empirical and in particular qualitative research methods
  • Have interest in conducting research in external organizations
  • Excellent written and communication skills
  • Be willing to collaborate with other researchers in a cross-disciplinary setting
  • The applicant’s master thesis must be research-oriented
  • Publication activities in relevant disciplines will be considered an advantage
  • Good written and oral English and Norwegian language skills

As the informants will mostly be Norwegian, knowledge of a Scandinavian language is desired, but it is not a pre-requisite. Applicants who do not master a Scandinavian language must provide evidence of good English language skills, written and spoken. The following tests can be used as such documentation: TOEFL, IELTS or Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE). Minimum scores are:

  • TOEFL: 600 (paper-based test), 92 (Internet-based test)
  • IELTS: 6.5, with no section lower than 5.5 (only Academic IELTS test accepted)
  • CAE/CPE: grade B or A.

Personal characteristics

  • Demonstrated ability to quickly acquire knowledge in new topics
  • Passion for uncovering new knowledge and explaining it to others
  • Demonstrated ability to work independently as well as in a team-based environment.
  • Enjoy cross-disciplinary challenges
  • Ability to interact, also independently, with external organizations

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

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 without teaching duty, or 4 years with 25% of the time spent on specified work (e.g., teaching duties). Appointment to a PhD position requires admission to the PhD programme in Information Technology 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 Associate Professor Elena Parmiggiani, phone number +47 450 24 313, e-mail parmiggi@ntnu.no or Head of Department John Krogstie, e-mail john.krogstie@ntnu.no.


About the application:

The application must contain:

  • Curriculum vitae (CV) with information about the candidate’s prior training, exams, and work experience
  • Certified copies of transcripts and diplomas for the whole bachelor and master’s degree. An English translation of all education documents is required unless the documents are in Norwegian
  • A project description of 3-5 pages, including
    • A short presentation of the motivation for applying to this position
    • How the candidate sees her/his background as suitable
    • Theoretical and methodological knowledge about the research area
    • A sketch of important research problems
  • Names and contact information of at least 2 reference persons
  • A copy of the master thesis (in PDF), or, for those who are near to completion of their MSc, an extended abstract combined with a statement of how and when the applicant plans to complete the thesis.

Incomplete applications will not be considered.

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 2019/19190 when applying.

  • Application deadline: 31.08.2019
Hovedbygningen

NTNU – knowledge for a better world

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 is one of seven departments in the Faculty of Information Technology and Electrical Engineering .

Read the job description at the university homepage

Apply for this job

Deadline

31st August 2019

Post expires on Saturday August 31st, 2019

Postdoctoral Fellow at the Department of Engineering Cybernetics, NTNU: Efficient software solutions for large-scale optimization

About the position

The position will be a part of BRU21 – NTNU’s Research & Innovation Program in Digital and Automation Solutions for the Oil and Gas Industry. This is a joint NTNU-industry program with up to 40 PhD/PostDoc positions. The objective of the program is to develop new digital and automation methods and technologies to increase efficiency, safety and environmental care in all operations in O&G activities. The program is organized as a multidisciplinary eco-system across seven departments at NTNU: Geoscience and Petroleum, Engineering Cybernetics, Mechanical and Industrial Engineering, Computer Science, Information Security and Communication Technology, Sociology and Political Science, Industrial Economics and Technology Management. The research program covers the corresponding multidisciplinary areas of digitalization and automation in the oil and gas industry. Most of the program’s research projects will be linked to specific digitalization/automation cases originating from the industrial partners. Innovation is a vital part of the program.  More information about the research program, as well as NTNU strategy in Oil and Gas research (BRU21 report) can be found on the program website (www.ntnu.edu/bru21).

The position reports to Professor Morten Hovd at the Department of Engineering Cybernetics, NTNU. However, the Postdoc candidate for this position will also be part of a smaller inter-disciplinary team consisting of BRU21 PhDs, Postdocs and Researchers already focusing on the development of the FieldOpt framework.

Main duties and responsibilities

The Postdoc will have a central role in BRU21. A main responsibility will be maintaining and further developing FieldOpt, an open-source software framework for efficient implementation of advanced simulation-based optimization methodology for both research and industry applications. In general, FieldOpt enhances petroleum field development research by providing extensive capabilities for prototyping, customization and real-case application of novel optimization routines coupled with state-of-the-art reservoir simulators. The software encompasses a bridge between numerical optimization and petroleum engineering. In time, however, the software is also envisioned to expand its simulation-based optimization capabilities to include other engineering disciplines.

BRU21 currently employs several PhD and Postdoc candidates developing optimization methodology for critical aspects of petroleum field development. The Postdoc candidate for this position will work closely with other BRU21 PhDs and Postdocs to facilitate the implementation and knowledge-transfer from the ongoing projects onto the FieldOpt framework. The main goal will be to put the various projects into a larger operational context where links and synergies between the various technologies can be efficiently explored and the time frame and work load required to apply research methodology to realistic cases can be shortened.

Job description

  • Maintenance of the FieldOpt open-source program package.
  • Development of new features and optimization formulations for FieldOpt.
  • Assist other personnel within BRU21 with solving optimization problems for field development.

Qualification requirements

A main objective of a Postdoctoral research fellowship position is to conduct work that can serve as qualification for subsequent academic positions. The current vacancy for a Postdoctoral research fellow requires the completion of a Norwegian doctoral degree in Computer Science, Control Engineering, Applied Mathematics or similar, or a corresponding foreign doctoral degree recognized as equivalent to a Norwegian doctoral degree.

The appointment will 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

  • Strong skills in computer (object-oriented) programming for mathematical applications.
  • Knowledge of convex and non-convex optimization is highly desired.
  • Knowledge within any petroleum engineering discipline is an advantage.
  • The FieldOpt repository is found at github.com/PetroleumCyberneticsGroup/FieldOpt. FieldOpt is an in-house open-source software package coded in C++ that currently links, relies-on and executes different types of software packages to enable the various research field development optimization workflows. The list below provides some of the tools FieldOpt uses for pre- and post-processing as well as for running simulations and doing optimization. Knowledge and/or some familiarity with some or any of the packages listed below is a significant advantage, though not essential:
    • OPM ResInsight, OPM Flow, Matlab Reservoir Simulation Toolbox, Eclipse reservoir simulator, ADGPRS, SNOPT-solver for nonlinear optimization, ERT Ensemble-based Reservoir Tool, DAKOTA.
  • Good written and oral English.  Applicants who are not native English speakers and are not from Scandinavia, must provide evidence of English language proficiency by means of one of the following tests:  TOEFL, Academic IELTS, and Cambridge CAE or CPE.  The minimum scores are
    • TOEFL: 600 (paper-based test), 92 (Internet-based test).
    • IELTS: 6.5, with no section lower than 5.5 (only Academic IELTS accepted)
    • CAE/CPE: grade A or B.
  • Fluency in Norwegian will be considered positively.

Personal characteristics

  • The ability to work both independently and in a team.
  • Personal initiative and motivation.

The candidate will be evaluated in terms of the qualification requirements specified in the advertisement. However, in the evaluation of which candidate is best qualified, emphasis will be placed on education, experience as well as personal and team suitability.

We offer

Salary and conditions

Postdoctoral candidates are remunerated in code 1352, and are normally remunerated at gross from NOK 523 200 per annum before tax. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.

The period of employment is 2 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 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

Working at NTNU

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.

Questions about the position can be directed to Professor Morten Hovd, phone number +47 91897189, e-mail morten.hovd@ntnu.no .

About the application:

Applications are to be submitted electronically through this page (http://www.jobbnorge.no ). Please refer to the application number 2019/17783 when applying.

The application should contain:

  • A motivation letter (1-2 pages), explaining the applicant’s motivation and suitability for the position.
  • CV.
  • Certified copies of academic diplomas and certificates.  Applicants from universities outside Norway are kindly requested to send a diploma supplement or a similar document, which describes in detail the study and grading system and the rights for further studies associated with the obtained degree.
  • The applicant’s PhD thesis.  Applicants who expect to complete their PhD before the end of 2019 may submit an extended abstract of the thesis (around 10 pages).
  • Publications and other academic works (not more than 10) that the applicant would like to be considered in the evaluation. 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.
  • Names and contact information of at least two references.

Incomplete applications will not be taken into consideration.

Application deadline: 01.09.2019.

Hovedbygningen

NTNU – knowledge for a better world

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 Engineering Cybernetics (ITK)

Engineering cybernetics is the study of automatic control and monitoring of dynamic systems. We develop the technologies of tomorrow through close cooperation with industry and academia, both in Norway and internationally. The Department contributes to the digitalization, automation and robotization of society. The Department of Engineering Cybernetics is one of seven departments in the Faculty of Information Technology and Electrical Engineering.

Read the job description at the university homepage

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Deadline

1st September 2019

Post expires on Sunday September 1st, 2019

Up to two PhD positions within time lapse monitoring

About the position

The Department of Electronic Systems has vacancy for up to two PhD positions within time lapse monitoring.

PhD fellowship(s) in time lapse monitoring are available at the Department of Electronic Systems at NTNU.The successful candidate will be offered up to 4 years  position with required duties.  The work place will be Trondheim.

The position reports to Head of department

Main duties and responsibilities

Job description

The first PhD position is 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 methods for data assimilation and efficient monitoring in geosciences applications. The candidate is expected to conduct research in one of the areas of the project under the supervision of a permanent member of the acoustics group participating in the project.

The second PhD position is part of the project “Enabling time-lapse 3D CSEM for reservoir management”, which is lead by EMGS and sponsored by the Research Council of Norway. EMGS is a Trondheim based company providing acquisition, processing and imaging services for marine electromagnetic data. The position deals with the use of repeated geophysical data to detect and use changes during hydrocarbon production or during underground storage of CO2.

PhD 1: In recent years several of the major hydrocarbon fields offshore Norway have been equipped with permanent seismic sensors that are trenched into the seabed. Repeated seismic surveys are shot over these receiver arrays typically two times per year, in order to detect and monitor reservoir changes related to production. This new type of acquisition makes it possible to develop new methods and algorithms to improve this 4D mapping process. The use of advanced mathematical inversion algorithms and exploiting long offset data is one such example. Another example is to couple typical production effects (such as saturation changes, pressure changes or compaction) to observed changes in the seismic data. The aim is to test such couplings at different levels: fully integrated in a mathematical inversion procedure, or a more stepwise and simplified manner requiring less computational cost. This position requires a good knowledge in geophysics and/or mathematics/physics.

PhD 2: In this project the geophysical method in focus is the use of controlled source electromagnetic (CSEM) data. In a CSEM survey, a powerful electric source antenna is towed behind a vessel and the electromagnetic responses are recorded by seabed nodes. While time-lapse seismic monitoring (4D seismic) has been developed into an established tool for reservoir management, limited R&D has been devoted to time-lapse electromagnetics so far. We suggest to embark on this problem and analyze the acquisition system, data processing and imaging methods to identify key bottlenecks in the challenging task of bringing this monitoring technology a major step forward. The project is motivated by recent improvements in acquisition hardware and real data results that show significant potential for developing time-lapse electromagnetics for reservoir management. The PhD student will work in close collaboration with the R&D group in EMGS in addition to the host department (IES) at NTNU. The research will benefit from the expertise and leading EM software developed at EMGS. It will also be possible to spend some time at OMV office in Stavanger. This position requires a good knowledge in mathematics/physics.

Qualification requirements

PhD candidate:
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 geophysics, underwater acoustics, signal theory, physics, mathematics  or equivalent education with a grade of B or better in terms of NTNU’s grading scale. Please see: http://www.ntnu.edu/ie/research/phd 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.

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 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

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

Personal characteristics

  • Curious, innovative person
  • Scientific communication skills
  • Ability to put thoughts into written material

In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal suitability, in terms of the qualification requirements specified in the advertisement

We offer

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 up to 4 years with required duties. Appointment to a PhD position requires admission to the PhD programme in Mathematical Sciences; please see http://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 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.

Questions about the positions can be directed to Martin Landrø, phone number +47 73594973, e-mail martin.landro@ntnu.no

About the application:

  • The application must include the following:
  • CV which includes information about education background and work experience.
  • 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.

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. Applicants invited for interview must include certified copies of transcripts and reference letters. Please refer to the application number 2019/18905 when applying.

Application deadline: 15.09.2019

Hovedbygningen

NTNU – knowledge for a better world

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 Electronic Systems

The digitalization of Norway is impossible without electronic systems. We are Norway’s leading academic environment in this field, and contribute with our expertise in areas ranging from nanoelectronics, phototonics, signal processing, radio technology and acoustics to satellite technology and autonomous systems. Knowledge of electronic systems is also vital for addressing important challenges in transport, energy, the environment, and health. The Department of Electronic Systems is one of seven departments in the Faculty of Information Technology and Electrical Engineering .

Read the job description at the university homepage

Apply for this job

Deadline

15th September 2019

Post expires on Sunday September 15th, 2019

PhD position in Mining Streaming Data

About the position

The Department of Computer Science has a vacancy for a PhD-position in mining streaming data, in a project funded by DNB (Norway’s largest financial services group) and NTNU.  The project’s focus is on technologies and architectures for dealing with large-scale real-time data processing, with emphasis on solving business challenges within the banking and finance sector.
In the financial sector, a wide range of data sources can be used both to understand customers, as well as the financial market in general. These data sources may contain both structured data (from typical financial services), as well as textual data (from communication with users, news media, or social media). Common for much of the interesting data, is that it is in the form of data streams that needs to be processed in real-time. The topic of this PhD position is effective information analysis (i.e., querying, searching or mining) on such data streams.

The position reports to Head of Department

Main duties and responsibilities

Much of the data relevant for financial services has either an implicit or explicit time dimension, and often also a geographical aspect. The PhD student will develop techniques for effective information analysis on such data, in one of the following areas (depending on interest and background of the candidate):

  • Algorithmic: Scalable algorithms for retrieval and mining of spatio-temporal streaming data
  •  Information retrieval: Searching and mining spatio-temporal-textual streaming data

The main supervisor will be Prof. Kjetil Nørvåg, and the candidate is also expected to work together with other researchers in his group. 
 

Qualification requirements

PhD candidate:
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. 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 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

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


Other qualifications

  •  A solid knowledge of database systems, algorithms, data mining, or information retrieval is essential, as is a research-oriented master thesis within one of these areas
  • Good programming skills
  • Good written and oral English language skills
     

Personal characteristics

  • • enjoy working in a team-based environment, but also be able to conduct independent activities and thinking
  • • have a problem-solving attitude
  • • be highly motivated to publish in top academic conferences and journals top venues in the areas of databases, data mining, and/or information retrieval.

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

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, or 4 years with required duties. Appointment to a PhD position requires admission to the PhD programme in Information Technology  (c.f. https://www.ntnu.edu/phd and 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 Kjetil Nørvåg, e-mail: noervaag@ntnu.no, or Head of the Department Professor John Krogstie, e-mail: john.krogstie@ntnu.no. 


About the application:
The application must contain:

  •  Curriculum vitae (CV) with information about the candidate’s prior training, exams, and work experience
  • Certified copies of transcripts and diplomas (an English translation of all education documents is required unless the documents are in Norwegian) 
  • Applicants from universities outside Norway are kindly requested to send a diploma supplement or a similar describes in detail the study and grading system and the rights for further studies associated with the obtained degree 
  • Statement of Purpose (max. 2 pages) including:
    • o A short presentation of the motivation for a PhD study
    • o How the applicant sees his/her background suitable
    • o The applicant’s view of research challenges within the area of the PhD position, from either an algorithmic or an information retrieval point of view
  •  Names and contact information of at least 2 reference persons
  •  A copy of the master thesis (in PDF), or, for those who are near to completion of their MSc, an extended abstract combined with a statement of how and when the applicant plans to complete the thesis (1 page)

Incomplete applications will not be considered.


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. Applicants invited for interview must include certified copies of transcripts and reference letters. Please refer to the application number 2018/ 17288 when applying.

Application deadline: 31.08.2019

Hovedbygningen

NTNU – knowledge for a better world

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 is one of seven departments in the Faculty of Information Technology and Electrical Engineering .

Read the job description at the university homepage

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Deadline

31st August 2019

Post expires on Saturday August 31st, 2019