Tag-arkiv: NTNU

Postdoctoral Research Fellow in Medical Physics

About the position

We have a vacancy for a 100% position as a Postdoctoral Research Fellow on the project “CURIE – Cancer imaging by functional magnetic resonance for
Radiotherapy Individualization and Evaluation” funded by the Norwegian Cancer Society, where we aim to develop a novel diagnostic and therapeutic framework for non-invasive personalized cancer medicine. The position is affiliated with an expanding research group in medical imaging and radiotherapy at the Department of Physics, NTNU and in close collaboration with St. Olavs hospital. The appointment has a duration of 3 years, but with possibility for up to one-year extension with teaching.

The position is organized in the Department of Physics. Our research spans a broad spectrum of natural sciences and technology. The Department is currently expanding and has activity in astroparticle physics, solid state physics, material physics, soft and complex matter physics, biopolymer physics, medical physics, statistical physics, optics, atmospheric physics and university didactics. The Department recruits the best physics students in Norway and also offers a large number of courses in physics for other study programmes at NTNU. Research staff at the Department makes a special effort to increase the awareness and understanding of the importance and impact of physics in our society. Further information about the Department can be found at https://www.ntnu.edu/physics

Living in Trondheim:
Trondheim is situated by the Trondheim fjord in the middle of Norway. It is the third largest city in Norway but still small by European standards. It is known for having the atmosphere both of a small and a large city and is famous for its student friendly environment. In all seasons Trondheim is an ideal place for those interested in outdoor life, whether your interest is by the sea or in the fjords, in the forest or in the high mountains. Trondheim is also a nice place to raise children. So, why not grasp this opportunity to boost your personal and professional life?
 

The position reports to Associate Professor Kathrine Røe Redalen (kathrine.redalen@ntnu.no or +47 92437646).

Job description

  • The Postdoctoral Research Fellow will work in the multidisciplinary field of medical imaging and radiotherapy of cancer, where the Fellow will join a research group working with quantitative and functional imaging (magnetic resonance imaging (MRI) and positron emission tomography (PET)), both to provide predictive/prognostic biomarkers of radiotherapy outcome to be used in personalised cancer treatment, but also to use such image information in further developments within image-guided adaptive radiotherapy.
  • The Fellow will in particular work within the expanding field of MRI in radiotherapy, with main tasks involving advanced, quantitative analysis of functional MRI in rectal cancer and head & neck cancer. In addition, competence and experience within machine learning algorithms, statistical prediction modelling and/or radiobiological modelling (of tumor control probability / normal tissue complication probability) will be positively weighted in the evaluation.
  • The Postdoctoral Fellow will become an important member in an expanding research group in the multidisciplinary field of medical imaging and radiotherapy in cancer treatment, and the candidate’s personal and communicative skills will therefore be emphasized. The workplace is at Department of Physics, NTNU, but will involve collaboration with St. Olavs Hospital as well as with established national and international partners.
  • The candidate will work in an active multidisciplinary research environment with high scientific standards. We are offering training, continuous supervision and opportunities for participation at national and international courses and congresses. Postdoctoral Fellows at our Department will also receive support for developing a personal career plan, including for instance relevant courses and training in grant writing. Fellows will also be given an opportunity to extend their employment with up to 1 year based on teaching bachelor and/or master courses at our Department.

Qualification requirements

Postdoctoral fellow:

The required qualifications are:

  • A university degree (Master of Science or equivalent) and PhD in physics, primarily with specialization in medical physics, radiation physics or biophysics. In addition, candidates with degrees in machine learning, bioinformatics or equivalent will be considered. Candidates expecting to complete their PhD before August 1, 2019 may also apply.
  • Excellent personal and communicative skills; the project will require ability to both work independently and to interact with other PhD candidates, students, experienced scientists, medical physicists as well as medical doctors from different specialties (e.g., oncologists, surgeons, radiologists)
  • Fluent English language, both written and spoken
  • Strong motivation, scientific creativity and enthusiasm for research, high working and implementation capacity

Personal characteristics

In addition, one or several of the following qualifications / skills are desired and will be weighted in the evaluation process:

  • Relevant clinical or research experience with MRI-based radiotherapy and/or quantitative MRI
  • Experience with translational work towards biology, oncology and radiotherapy
  • Fluent Scandinavian language (due to interaction with students and various personnel at the hospital) Strong skills in programming, medical image analysis and/or image-guided radiotherapy simulations in Matlab or similar software
  • Strong skills in machine learning algorithms / informatics / prediction modelling
  • Strong skills in radiobiological modelling (of tumor control probability / normal tissue complication probability)

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

Postdoc:
Postdoctoral candidates are remunerated in code 1352, and are normally remunerated at gross from NOK 515 200 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, with a possibility for up to 1-year extension. It is expected that the Fellow can start in the position within September 2019.

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. Norway has generous rules for both maternity and paternity leave. Professional subsidized day-care for children is easily available. Furthermore, Trondheim offers great opportunities for education (including international schools) and possibilities to enjoy nature, culture and family life (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.

The application should contain:

  • CV
  • Reference letters
  • Certificates from Master and PhD degrees
  • List of publications or other scientific work
  • Statement on research interests (maximum three pages)
  • Documentation of English language proficiency (e.g. TOEFL, IELTS, etc.) if English or a Scandinavian language is not the applicant’s mother tongue
  • If relevant, a list of projects you have supervised or been project managager for, with information on funding agency, years of duration and the funds received.
     

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 20/19 when applying.

Application deadline: 10.04.2019

Gløshaugen Høgskoleparken Foto: Erik Børseth/NTNU

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.

Apply for this job

Read the job description at the university homepage

Deadline

10.04.2019

Post expires on Wednesday April 10th, 2019

PhD fellowship in rock physics models for improved 4D seismic interpretation – IV-97/19

About the position

We have a vacancy for a 3 years PhD Fellowship at Department of Geoscience and Petroleum (IGP), NTNU. The work will be a part of the project: Improved prediction of stress and pore-pressure changes in the overburden for infill drilling at SINTEF’s Department of Petroleum, that is supported by the industry and the Research Council. The main objective of this project is to provide calibrated rock-mechanical and rock-physical models for overburden rocks for prediction of stress- and pore-pressure changes in the overburden of a depleting reservoir.

The position reports to Head of Department

Job description

  • The PhD project aims to study the impact of stress and strain changes in the subsurface, particularly in the overburden, on time-shifts observed in repeated (4D) seismic.
  • This work aims to quantify and demonstrate important signatures in 4D data for the quantification of altered mechanical properties of the subsurface resulting from reservoir production (depletion).
  • Part of the work is to study the impact from overburden stress paths (directional stress variations) and offsets (ray-paths) on time-shifts.
  • To achieve this goal, rock physics, geomechanics and geophysics must be successfully integrated in the study.

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 relevant academic background in physics, geophysics, petroleum engineering, mechanics or related disciplines 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. Experience in computer simulations of mechanics and/or wave propagation (e.g. finite difference and finite element methods) is an advantage. Depending on the background of the candidate, part of the work may be experimental involving planning, acquisition and analysis of static and dynamic data obtained from long term tests on field cores. 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

Other qualifications

  • Proficiency in oral and written English is a must.

Personal characteristics

  • A high level of personal responsibility and initiative
  • Work independently as well as in team in accordance with the project objectives

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 449 400 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 required duties. Appointment to a PhD position requires admission to the PhD programme in engineering  (https://www.ntnu.edu/iv/doctoral-programme). 

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.

Appointment takes place on the terms that apply to State employees at any time, and after the appointment you must assume that there may be changes in the area of work.

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 Rune Martin Holt, e-mail: rune.holt@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. Applicants invited for interview must include certified copies of transcripts and reference letters. Please refer to the application number IV-97/19 when applying.

Application deadline: 25.03.2019

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 Geoscience and Petroleum

We conduct teaching and research related to management of Earth’s geological resources. Norway’s rich resources of wind, water, oil, gas and minerals have been and are essential to the country’s prosperity, and will continue to be in the future. The Department plays a key role in the development of technology and the education of graduates who enable value creation based on our natural resources. The Department of Geoscience and Petroleum is one of eight departments in the Faculty of Engineering.

Apply for this job

Read the job description at the university homepage

Deadline

25.03.2019

Post expires on Monday March 25th, 2019

PhD position in Optimal Utilization of Smart Generators

About the position

The Faculty of Information Technology and Electrical Engineering, http://www.ntnu.edu/ie  at the Norwegian University of Science and Technology (NTNU) has a vacancy  for a 100% position as a PhD candidate at the Department of Electric Power Engineering  http://www.ntnu.edu/elkraft. The described PhD position is part of the Strategic Research Area designed by NTNU for the period 2014-2023, i.e., Energy, subtopics «Energy Efficiency», «Energy Storage», «Smart Energy Systems» and «Hydropower in the 21st century».

The position reports to the Head of Department.

Job description

Future power generation technologies should be able to operate at a very high flexibility. This is needed in order to address the ever-increasing penetration of renewable energy sources into the power grid. The new challenges in the power system requires the classical power generation to be operated to deliver new services (i.e. multi-purpose machines). Future hydropower plants should operate with

  • higher flexibility, and
  • higher utilization of long-term and short-term capacities

Currently, there is one vacant position available at NTNU within the field of “smart power generation technologies”.

The successful PhD candidate will be expected to perform the following subtasks:

  • Develop a numerical multiphysics platform of a synchronous generator that are validated experimentally
  • Use the detailed analysis to identify a reduced order model to be proposed for real-time control services (a digital twin)
  • Target the optimal utilization of the machine for multiple purposes including variable speed and fixed speed operation
  • Explore opportunities in the operation of future power plants
  • Prepare papers for academic journals

The PhD student will work at the intersection between the fields of electrical machines, power electronics and power systems. The research will be oriented towards addressing the real-world challenges in the power industry.

Qualification requirements

The PhD-position’s main objective is to qualify for work in research positions. Applicants must hold a M.Sc. degree (or equivalent) within electrical engineering (or engineering physics) with specialization in electrical machines. Applicants with experimental experience and/or experience with finite element analysis will be preferred. Scientific publications in international journals and at conferences will give merit.
Applicants are required to submit a one-page research proposal within the described research area.

Applicants must provide evidence of good English language skills, written and spoken. If your first language is not English, the following tests can be used as documentation: TOEFL, IELTS and 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.

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

Personal characteristics

  • The ability to work in a team and good communication skills will be emphasized in the employment process.

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 449 400 per annum. 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 assistance, or 4 years including 25% teaching assistance.

Appointment to a PhD position requires admission to the PhD programme in Electrical Power Engineering. Applicants must be qualified for admission as PhD students at NTNU. See  https://www.ntnu.edu/ie/research/phd for information about PhD studies at NTNU.

As a PhD candidate, you will have to successfully complete the PhD academic training programme; the training includes mandatory course work and other obligatory activities. Within the first three months of your employment, you must formally qualify for admission to the PhD programme at the Faculty of Information Technology and Electrical Engineering.

Appointment takes place on the terms that apply to State employees at any time, and after the appointment you must assume that there may be changes in the area of work.

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 Associate Professor Jonas Nøland, Jonas.k.noland@ntnu.no.

About the application:

Applications are to be submitted electronically through this page (http://www.jobbnorge.no).
 
The application should contain (all in one combined PDF file):

  • A project description (1-2 pages).
  • 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.
  • Publications relevant to the research scope and any other work which the applicant wishes to be taken into account should clearly state the applicant’s contribution. A short summary should be attached outlining the applicant’s input to joint work.
  • Names and contact information of at least two references.

Incomplete applications will not be taken into consideration.

Application deadline: March 21, 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 Electric Power Engineering

Our department is Norway’s leading university environment in the field, and our vision is to be at the centre of the digital green shift. We have excellent collaboration with business and industry as well as other academic environments internationally. This gives us outstanding opportunities for interdisciplinary research with high relevance to society, while we meet industrial needs and address global challenges at the same time. The Department of Electric Power Engineering is one of seven departments in the Faculty of Information Technology and Electrical Engineering.Apply for this job

Deadline

21.03.2019

Apply for the position

Post expires on Thursday March 21st, 2019

PhD candidate within the area of Reinforcement Learning and Optimal Control

About the position

Are you passionate about engaging in doctoral level research to solve scientific problems within the area of Reinforcement Learning and Optimal Control, a topic with great industrial significance? If yes then this position may be for you. This exciting research project will be carried out at the Department of Engineering Cybernetic (https://www.ntnu.edu/itk), in close collaboration with the NTNU Artificial Intelligence initiative, and the Dept. of Computer Science. The research will be performed under the supervision of Prof. S. Gros and his colleagues.

Job description

Machine Learning (ML) is increasingly used in control applications. E.g. the early successes in Autonomous Driving are partially due to substantial progresses in ML. A number of other applications, mostly in robotics and autonomous systems are benefitting from these developments. Within ML, Reinforcement Learning (RL) is a specific class of techniques that deals with the optimal control of dynamic systems. RL has attracted a lot of academic and public attention lately by beating masters in Chess and Go games. Despite its early successes, the current state-of-the-art in RL suffers from some drawbacks, making it difficult to introduce in industrial applications. In this PhD project, we will investigate and develop novel ideas combining RL, optimal control and Model Predictive Control in order to address some of the deficiencies in the field. You will carry out research on this topic in collaboration with Prof. S. Gros and his colleagues. The focus will be on theory and simulations, but some laboratory experiments are possible.

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 Control, Optimization and Machine Learning 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, post doctor and research assistant.

Other required qualifications:

  • Strong background in MPC, Optimal Control, and Reinforcement Learning
  • Strong mathematical skills (systems dynamic, probability and statistics, optimization theory)
  • Excellent Matlab or Python programming skills
  • Excellent written and oral English skills

Personal characteristics

  • Strong analytical skills, synthetic, capable of handling and expressing complex ideas easily
  • Strong capabilities for abstract and mathematical thinking
  • Resilient and ambitious, self-motivated
  • Team player, good at collaborating, respectful
  • Resourceful, autonomous and independent

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

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

Salary and conditions

PhD candidates are remunerated in code 1017, and are normally remunerated at gross from NOK 449 400 before tax per year. From the salary, 2 % is deducted as a contribution to the Norwegian Public Service Pension Fund.

The successful candidate will be appointed for a period of 3 years, with possible extension to a fourth year if the candidate undertakes teaching related duties.

Appointment to a PhD position requires admission to the PhD programme in Eng. Cybernetic (https://www.ntnu.edu/studies/phtk). 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.

Appointment takes place on the terms that apply to State employees at any time, and after the appointment you must assume that there may be changes in the area of work.

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 Prof. S. Gros, e-mail sebastien.gros@ntnu.no , grosse@chalmers.se .

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 2019/4040 when applying.

Application deadline: 01.04.2019.

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.

Apply for this job

Read the job description at the university

Deadline

01.04.2019

Employer

NTNU – Norwegian University of Science and Technology

Post expires on Monday April 1st, 2019

PhD position in statistical disclosure control for data privacy

About the position

We have a vacancy for a 4-year PhD position in the Department of Information Security and Communication Technology. The planned research is in quantitative theory and algorithms for computing statistics from population data in a manner that allows balancing utility with privacy risk.

The position reports to Nils Kalstad Svendsen.

Job description

Google, Facebook, and Acxiom, and for public sector activities such as health research. A significant challenge lies in balancing information needs with privacy. An important aspect of privacy is the control of inferences about individuals enabled by Data on individuals represents enormous values, both for corporations such as access to information derived from population data. Such information includes output from machine learning algorithms applied to data. An emerging standard for defining privacy in this context is differential privacy, with adoptions by, among others, Microsoft, Apple, Google, and the US Census bureau. The reasons for the popularity of differential privacy include sound theoretical foundations, allowing a quantitative trade-off between utility and privacy, as well as tracking privacy risk over time and across databases.

The researcher will work on analyzing and designing mechanisms for data and information access that allow control of the privacy – utility trade-off. Of particular interest are development of new differentially private response mechanisms for distributed data, differentially private response mechanisms for longitudinal data, and theory around privacy as an only partially renewable resource.

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 very strong academic background in statistics, mathematics, or computer 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.

Students who do not yet hold a master’s degree can apply as long as they will fulfil the master’s degree requirements before summer 2019.

The appointment is to be made in accordance with the regulations in force concerning State Employees and Civil Servants and national guidelines for appointment as PhD, post doctor and research assistant.

Other requirements:

  • Strong mathematics and statistics skills.
  • As the research topic rests heavily on quantitative analysis, design of algorithms, and proofs of algorithm properties, advanced classes in relevant topics are advantageous.
  • Excellent oral and written English
  • Experience with research

Personal characteristics

The successful candidate is

  • highly motivated for research work and is able to work independently,
  • eager to disseminate research results through publications and presentations at international conferences, and
  • most importantly, has a strong interest in exploring theoretical aspects of privacy preserving computations

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 candidate:
PhD candidates are remunerated in code 1017, and are normally remunerated at gross from NOK 449 400 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 25% teaching and other duties. Appointment to a PhD position requires admission to the PhD programme in Information Security

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.

Research assistant:
Research assistants are remunerated in code 1018,1019 and 1020 depending on comptetence (ta stilling til valg av kode). For a period of until (two years). This is a position where the tasks will give the opportunity to gain research experience in scientific work and methods.

Appointment takes place on the terms that apply to State employees at any time, and after the appointment you must assume that there may be changes in the area of work.

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 Staal A. Vinterbo via e-mail to Staal.Vinterbo@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.

In addition, the application must also contain:

  • Curriculum vitae (CV) with information about the candidate’s prior training, exams, and work experience and contact information of at least two references.
  • A copy of the master thesis (in PDF). Students who have not completed their master’s thesis at the time of application must submit an extended abstract of the upcoming master’s thesis.
  • Copies of academic certificates and transcripts. Applicants from universities outside Norway are requested to send a diploma supplement or a similar, describing in detail the study and grading system and the rights for further studies associated with the obtained degree.

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 refer to the application number 2019/2780 when applying.

Application deadline: May 1st, 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.

Faculty of Information Technology and Electrical Engineering

The Faculty of Information Technology and Electrical Engineering is Norway’s largest university environment in ICT, electrical engineering and mathematical sciences. Our aim is to contribute to a smart, secure and sustainable future. We emphasize high international quality in research, education, innovation, dissemination and outreach. The Faculty consists of seven departments and the Faculty Administration.

Apply for this job

Read the job description at the university homepage

Deadline

01.05.2019

Employer

NTNU – Norwegian University of Science and Technology

Post expires on Wednesday May 1st, 2019

PhD position in English teachers’ professional development and multilingualism

About the position

A position as PhD fellow in English teachers’ professional development and multilingualism is available at the Department of Teacher Education. The successful candidate will be employed on the project Acquisition of English in the multilingual classroom funded by the Research Council of Norway. The post is a fixed-term position from 1 July 2019 for three years.

The project’s primary objective is to examine acquisition of English by multilingual language learners in Norwegian schools. The secondary objectives include examining the acquisition patterns of English L3 in Norwegian classrooms.

The main focus will be on language awareness and language development, in particular the contrastive/comparative elements between the learners’ L1 and English for both spoken and written language at different age groups/levels of proficiency. We will also define ‘standards’ or levels of what should be expected at the different levels of proficiency/ages to fulfil the learning outcomes in the curriculum for English. We will examine teachers and learners’ cognitive awareness of the language learning process and we will examine how students on the Master program in English education can best contribute to professional development and carry out their own research projects in multilingual classrooms. Read more about the project here.

The PhD fellow’s project and doctoral dissertation will focus on pedagogies for teaching multilingual learners of English, and how teachers use multilingualism as a resource in their teaching.

Job description

The PhD fellow will be responsible for the following tasks:

  • Collect and analyze data that consist of classroom/teaching materials, observations and recordings of classroom interaction between students and teacher, teaching methods and strategies, and interviews with teachers
  • Present project results at conferences and co-author reports and publications
  • The successful candidate is expected to join the existing research project and network and contribute to its development

The PhD fellow’s academic work is to result in a doctoral dissertation that will be defended at the Faculty with a view to obtaining the degree of PhD.

The successful candidate is obliged to follow the regulations that concern changes and developments within the discipline and/or the organizational changes concerning activities at NTNU.

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 a relevant field 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 regulations for PhD programs at NTNU state that a Master’s degree or equivalent with at least 5 years of studies and an average grade of A or B within a scale of A-E for passing grades (A best) for the two last years of the Master’s degree is required. Candidates from universities outside Norway are kindly requested to send a Diploma Supplement or a similar document, which describes in detail the study and grade system and the rights for further studies associated with the obtained degree: https://europass.cedefop.europa.eu/documents/european-skills-passport/diploma-supplement

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

The position requires spoken and written fluency in the English language. Applicants from non-English-speaking countries must document English skills by an approved test. Approved tests are TOEFL, IELTS and Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE).

Desired qualifications

  • Proficiency in Norwegian and another language in addition to English
  • Experience from working with multilingual learners of English

Personal characteristics

  • Ambitious, self-motivated, and able to work independently
  • Proactive and able to work collaboratively in teams
  • Flexibility and adaptability

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 449 400 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 program in Educational Sciences at NTNU (https://www.ntnu.edu/studies/phuv).

As a PhD candidate, you undertake to participate in an organized PhD program during the employment period. A condition of appointment is that you are in fact qualified for admission to the PhD program within three months.

Appointment takes place on the terms that apply to State employees at any time, and after the appointment you must assume that there may be changes in the area of work.

The successful candidate is required to live within commuting distance from The Norwegian University of Science and Technology in Trondheim.

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.

Further information about the position is available by contacting Principal investigator Professor Eivind Nessa Torgersen, email eivind.torgersen@ntnu.no or Co-investigator Dr Anna Krulatz, email anna.m.krulatz@ntnu.no

or HR Consultant Aaste Line strand, aaste.l.strand@ntnu.no

About the application:

The application should include:

  • A letter of motivation
  • An independent research proposal for a PhD project (between 6 and 10 pages) firmly grounded within the aims of the research project, Acquisition of English in the multilingual classroom, mentioned above, and relevant to the specific focus of this PhD position. The research proposal should consist of the following sections: 1) Background and theoretical framework, 2) Objectives, research questions and hypotheses, 3) Methodology, 4) Dissemination and progress plan
  • CV with information about education, previous relevant work experience and full list of publications
  • Authorized documentation of certificates, diplomas and other records of study (unauthorized documentation will not be accepted)
  • Relevant sample publications (maximum 5), including the Master’s thesis
  • Name and contact information of at least two academic 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

Short-listed candidates may be invited for an interview at NTNU.

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 SU-286 when applying.

Application deadline: 1 March 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 Teacher Education

We are Norway’s largest academic community in teacher education and research on education, and we offer a complete portfolio of teacher education for primary and secondary schools. Our research and our performing art and educational development work are focused on the school, classroom and workshop. We develop knowledge about learning and education in a lifelong perspective. The Department of Teacher Education is one of seven departments in the Faculty of Social and Educational Sciences.

Post expires on Friday March 1st, 2019

PhD Candidate Fellow position in analog integrated circuit design available at CIUS

About the position

The Centre for Innovative Ultrasound Solutions (CIUS) for health care, maritime, and oil & gas applications seeks an outstanding and creative PhD Candidate. The PhD position is for up to 4 years with 25% work duties at IES and 75% to be devoted to research and research training.

CIUS is a Centre for Research-based Innovation (SFI) (www.ntnu.edu/cius), appointed by the Norwegian Research Council where industry, healthcare providers, independent research organizations and academia will collaborate to develop next generations’ ultrasound solutions. Industrial partners include GE Vingmed Ultrasound, Kongsberg Maritime, Statoil, Archer – BTC (Bergen Technology Centre), Medistim, Aurotech Ultrasound, Phoenix Solutions, X-FAB, Sensorlink, Halfwave, and InPhase Solutions. Research partners include SINTEF, St. Olavs University Hospital, Central Norway Regional Health Authority (HMN – [Helse Midt-Norge]), the Nord-Trøndelag Hospital Trust (including Levanger Hospital), and Levanger and Verdal municipalities.

The position reports to Head of Department.

Job description

The available research position is related to the development of next-generation front-end ultrasound imaging electronics. Focus will be on low-noise, high-energy efficiency CMUT (capacitive micromachined ultrasound transducer) interface circuitry including modelling and implementation of efficient transmit and receive architectures for CMUT’s. The designs will be taped-out in nanoscale CMOS technologies including advanced fully-depleted Silicon on Insulator (FDSOI) processes. The successful candidate will work in an interdisciplinary team of people from different engineering fields, and in close collaboration with clinical and industry partners.

Research projects are available in both medical and industrial applications of ultrasound imaging.

Qualification requirements

The PhD-position’s main objective is to qualify for work in research positions. We seek highly motivated individuals holding a master’s degree or second degree (equivalent to 120 credits) with a strong academic background in analog integrated circuit 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.

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.

The candidate is expected to have good knowledge and experience in the design of analog integrated circuits. Candidates with prior knowledge and experience in ultrasound technology will be preferred.

The position requires spoken and written fluency in the English language. Applicants from non-English-speaking countries outside Europe must document English skills by an approved test.

There will be a strong emphasis on the academic quality of the applicants.

Candidates that are finishing their degree in 2019 are also welcome to apply.

Personal characteristics

The successful candidate is expected to work independently but need excellent interpersonal skills to work successfully in interdisciplinary research teams.

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 449 400 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 4 years with 25% required duties. Appointment to a PhD position requires admission to the PhD programme. See http://www.ntnu.edu/ime/research/phd for information about PhD studies 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.

Appointment takes place on the terms that apply to State employees at any time, and after the appointment you must assume that there may be changes in the area of work.

 

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. If necessary, we will adapt the workplace for people with disabilities. Increasing the number of women in academic positions is an important priority for the Norwegian University of Science and Technology.

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 Centre for Innovative Ultrasound Solutions (CIUS) requires ITAR assessment. Export control will be performed as part of the qualification process.

Questions about the position can be directed to Professor Trond Ytterdal, e-mail: trond.ytterdal@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. Applicants invited for interview must include certified copies of transcripts and reference letters. Please refer to the application number 2018/5348 when applying.

Application deadline: 25.03.2019

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 .

Post expires on Monday March 25th, 2019