Tag-arkiv: UiT

PhD Candidate in Marine Geology/Sedimentology

The position

The Department of Geosciences has a vacant 4-year PhD position in marine geology/sedimentology for applicants who wish to obtain the degree of Philosophiae Doctor (PhD).

The PhD position is associated with the Research Centre for Arctic Petroleum Exploration (ARCEx), (https://arcex.no/). The centre aims at improving the knowledge of petroleum resources in northern and Arctic areas. ARCEx aspires to provide essential knowledge and methodology for eco-safe exploration in the high north. ARCEx is led by UiT The Arctic University of Norway, and funded by the Research Council of Norway. The centre profits from the close cooperation amongst the nine academic and six industry partners. The following institutions are scientific partners with ARCEx: UiT the Arctic University of Norway (host and lead institution), University of Bergen, University of Oslo, University of Stavanger, The University Centre in Svalbard (UNIS) , Norwegian University of Science and Technology (NTNU), NORCE Norwegian Research Centre AS, Geological Survey of Norway (NGU) and Akvaplan Niva AS.

The PhD position is for a period of four years, and the nominal length of the PhD program is three years. The fourth year consists of teaching or other duties for the department, and these duties are distributed over the four years. UiT the Arctic University of Norway funds the position.

The position’s field of research

This PhD position will be part of the work package Geology, more specifically in the task Basin analysis. In this task, ARCEx aims to improve the fundamental understanding of the formation and geological evolution of sedimentary basins in the Barents Sea – Svalbard region during the Cenozoic. This includes the timing, causes and consequences of Cenozoic uplift and erosion as well as the onset and evolution of ocean current controlled sedimentation.

Main objectives of the PhD project include:

  • Contribute to the understanding of the formation and geological evolution of sedimentary basins in the Barents Sea – Svalbard region during the Cenozoic
  • Identify various phases of Cenozoic uplift and erosion and elucidate on its underlying mechanisms
  • Quantify the sediment volumes and rates of erosion using a source-to-sink approach
  • Offshore-onshore correlation of the Cenozoic succession in the Svalbard area (the uplifted part of the Barents Sea)
  • Better understand the ocean current processes including volume quantification and rate of deposition

The project will be based on interpretation of 2D seismic data, integrated with exploration well or scientific borehole data where available. This project will also include fieldwork targeting the Cenozoic succession exposed onshore western Svalbard. The position may also be assigned to other activities within the work package, including numerical modelling of sedimentary systems.

The selected candidate can start his/her work immediately as the data are already exist and the software packages are available at the department.

Contacts

Further information about the position and UiT is available by contacting Professor Jan Sverre Laberg, phone: +47 77644456, email: jan.laberg@uit.no

Affiliation and collaboration

All the planned data analyses will be implemented at the Department of Geosciences, UiT The Arctic University of Norway. Multiple visits to the Norwegian Petroleum Directorate in Harstad and other relevant institutions for data analysis and discussions will be part of the project. The candidate will spend up to 6 months at an institution in a foreign country.

The results of this project are to be published in peer-reviewed scientific journals, and presented at national and international conferences/workshops including ARCEx conferences and workshops, as well as at public events such as “Forskningsdagene” (The Norwegian Science Days).

The appointed candidate will benefit from cooperation of cross-disciplinary groups within ARCEx, as well as with other groups at the department. The candidate will be part of the PhD Trainee School in Arctic Marine Geology and Geophysics (AMGG) at the department, and the Petroleum Research School of Norway (NFiP).

Qualifications

This position requires a Master’s degree in marine geology/sedimentology. Relevant experience in the study of continental margins including seismic stratigraphy, sedimentology, geomorphology, fault geometries and/or paleoenviromental reconstructions is a requirement. Experience with software for seismic interpretation (Petrel) or other relevant programs is also a requirement. Fieldwork experience (from remote regions/Arctic regions) is considered highly advantageous.

The applicant must present a description outlining his/her academic basis of the PhD project.

The results shall be presented to the project user partners, at national and international conferences/workshops, as well as published in peer-reviewed scientific journals. Therefore, a good communication level in English, both written and oral, is required. A working knowledge of Norwegian or a Scandinavian language is desirable.

The assessment will emphasize motivation and personal suitability for the position. You must be willing to engage in the ongoing development of your discipline and the university as a whole. For this position, we are looking for a creative candidate with problem solving attitude. The successful candidate should be able to work in a team as well as independently in office as well as in the field.

During this assessment process, emphasis will be put on your potential for research as shown by the Master’s thesis, the project description and any other academic works. In addition, we may consider work experience, teaching qualifications or other activities of significance for the PhD studies.

The position requires admission to the PhD programme. To gain admission to the PhD programme, you must have a grade average of C or better. Documented fluency in English is required. Information about requirements and the PhD programme is available here: https://uit.no/nt/phd

As many as possible should have the opportunity to undertake organized research training. If you already hold a PhD or have equivalent competence, we will not appoint you to this position.

Application

Your application must include:

  • CV and application letter
  • Diplomas and transcripts (diploma supplement)
  • Documentation on English language proficiency
  • References
  • Master thesis
  • Project description

You must present a description outlining the academic basis of the PhD project. You must also submit academic works which you wish us to consider during the assessment process.

Qualification with a master’s degree is required before commencement. For those who are near to the completion of their master’s degree, submit a draft version of the thesis. You must have completed before 1st of March 2020. You should also attach a statement from your supervisor regarding the completion of your master’s degree.

All documentation have to be in English or a Scandinavian language. Submit applications electronically through Jobbnorge.

Bannerbilde med mennesker og nordlys

We offer

  • Remuneration of PhD positions are in salary code 1017, and normally start at salary grade 54 on the pay scale for Norwegian state employees. There is a 2% deduction for contribution to the Norwegian Public Service Pension Fund.
  • UiT has good welfare arrangements for employees including beneficial arrangements for pension and insurances.
  • A cross-disciplinary, interactive, supportive and challenging working environment.
  • National and international mobility to work closely with the project partners and to present the work in conferences/workshops.
  • Possibility of joining research cruises to collect marine geological and geophysical data
  • A fascinating city of Tromsø with unique experiences of mid-night sun in the summer and aurora borealis in the winter as well as attractive Arctic sports, nature adventures and social urban activities.

More information about moving to Norway: http://uit.no/mobility.

Generell informasjon

We make the appointment in accordance with the regulations in force concerning State Employees and Civil Servants, and guidelines at UiT. At our website, you will find more information for applicants

UiT The Arctic University of Norway has HR policy objectives that emphasize diversity, and encourages all qualified applicants to apply regardless of their age, gender, functional ability and national or ethnic background. The university will emphasize making the necessary adaptations to the working conditions for employees with reduced functional ability.

We process personal data given in an application or CV in accordance with the Personal Data Act. You may request to not be registered on the public list of applicants, but the University may decide that your name will be made public. You will receive advance notification in the event of such publication.

 UiT The Arctic University of Norway

UiT is a multi-campus research university in Norway and the northernmost university of the world. Our central location in the High North, our broad and diverse research and study portfolio, and our interdisciplinary qualities make us uniquely suited to meet the challenges of the future. At UiT you can explore global issues from a close-up perspective.

Credibility, academic freedom, closeness, creativity and commitment shall be hallmarks of the relationship between our employees, between our employees and our students and between UiT and our partners.

Read the job description at the university homepage

Apply for this job

Deadline

1st November 2019

Post expires on Friday November 1st, 2019

Postdoctoral Research Fellow in machine learning for oncological image analysis

About the Position

Faculty of Science and Technology has a vacant position as Postdoctoral Research Fellow. The position is attached to the UiT Machine Learning Group at the Department of Physics and Technology. It is affiliated with the project “Targeting tumor microenvironment: Boosting PET-based diagnostics and therapies” and the Coastal Collaboration within PET image research, which involves universities and university hospitals in Tromsø, Trondheim and Bergen, Norway. The appointment is for a period of four years.

The position’s affiliation

The Department of Physics and Technology consists of six research groups: (1) Complex Systems, (2) Energy and Climate, (3) Earth Observation, (4) Machine Learning, (5) Space Physics, and (6) Ultrasound, Microwaves and Optics. The department provides education on the Bachelor, Master, and PhD levels, and comprises 19 permanent scientific positions and a technical/administrative staff of 10 persons.

The UiT Machine Learning Group conducts basic and applied research, funded e.g. by the Research Council of Norway and by industry. The group’s basic research is currently focusing on advancing deep learning, kernel machines and reinforcement learning, by synergistically coupling those paradigms. On the applied side, the group is active in health analytics, including mining of electronic health records for decision support and diagnostics, and in image analysis and computer vision research, both in a medical and in other industrial contexts.

The position’s field of research

We are seeking a postdoctoral research fellow to take an active role in the group’s efforts to advance machine learning for oncological image analysis. The research will be rooted in fundamental machine learning theory and recent methodologies, but shall be applied to the analysis of positron emission tomography (PET) images and hybrid modalities where PET images are combined with other medical sensors, such as computed tomography (CT) and magnetic resonance (MR) image scanners. The research will be centred on the development of algorithms for co-registration, segmentation, classification, target detection and change detection and time series analysis with multimodal medical images to support the study of the particular cancer types and medical challenges addressed by the overarching project. The research will be conducted in close collaboration with Tromsø PET Centre, located at the University Hospital of North Norway (UNN), and the PET centres and project partners in Trondheim and Bergen. Data and methodology will be exchanged across all sites.

Contact

Further information about the position and project details is available by contacting

Professor Robert Jenssen:


Or Associate Professor and Deputy Head of Department Stian Normann Anfinsen:

Qualifications

We are looking for a motivated candidate with proven research skills and abilities to pursue her/his own research ideas in an independent manner. The successful candidate should also demonstrate aptness to work in a team.

Strong emphasis will be put on the candidates’ experience in working with deep learning, and in particular convolutional neural networks. The candidate is expected to master tools such as e.g. TensorFlow, Keras, Pytorch and/or Caffe. Experience with image analysis is required, and knowledge of medical image modalities and sensors is preferred. The candidate should have experience in both theoretical and applied research work. A strong documented background in mathematics and/or statistics is needed. Publications in internationally renowned journals and conferences will be considered a strength.

For appointment as Postdoctoral Research Fellow, the applicant is required to have a Norwegian doctoral degree in the subject area concerned or a corresponding foreign doctoral degree recognised as equivalent to a Norwegian doctoral degree. If you’re at the final stages of your PhD, you are also qualified to apply. Qualification as PhD is required before commencement in the position.

The main purpose of postdoctoral research fellowships is to qualify researchers for work in top academic positions within their discipline and this requires a strong commitment from the candidate. The candidate should be motivated for scientific work, and have excellent analytical and collaborative features. A good command of English and excellent communication skills are required. Emphasis is attached to personal suitability.

Application

Your application must include:

  • 1-2 page letter of application (cover letter) highlighting the candidate’s background and its relevance to the announced job
  • CV (containing a complete overview of education, supervised professional training and professional work)
  • Diplomas and transcripts from all completed degrees
  • Name and contact details of 2-3 references (name, affiliation to the applicant, email address and phone number)
  • Academic works, up to ten. The doctoral thesis is regarded as one work.
  • List of works and description of these (see below)

The works (published or unpublished) which the applicant wishes to be taken into consideration during the assessment process must be submitted. In addition, the applicant shall provide a description of his/her scientific production stating which works he/she considers the most important and shall therefore be the main emphasis of the assessment. A brief description of the other listed works shall also be included to demonstrate depth of production. These descriptions shall be an attachment to the application.

Documentation has to be in English or a Scandinavian language. We only accept applications through Jobbnorge.

Bannerbilde med mennesker og nordlys

We offer

  • Involvement in an interesting research project
  • A good academic environment with dedicated colleagues
  • A large degree of independence in work
  • Flexible working hours and a state collective pay agreement
  • Pension scheme through the state pension fund

The remuneration for this position is in accordance with the State salary scale code 1352. A compulsory contribution of 2 % to the Norwegian Public Service Pension Fund will be deducted.

The UiT campus is located near the centre of Tromsø, a vibrant city located in Northern Norway with approximately 75 000 inhabitants. The location also offers ample opportunities for e.g., sighting aurora, hiking and skiing. More practical information for working and living in Norway can be found here: Welcome to UiT!​

General information

The appointment is made in accordance with State regulations and guidelines at UiT. At our website, you will find more information for applicants. 

The objective of the appointment as a Postdoctoral Fellow is to qualify for work in senior academic positions, and no one may be appointed to more than one fixed term period at the same institution.

A good work environment is characterized by diversity. We encourage qualified candidates to apply, regardless of their gender, functional capacity or cultural background. UiT will emphasize making the necessary adaptations to the working conditions for employees with reduced functional ability.

According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.

About UiT The Arctic University of Norway

UiT is a multi-campus research university in Norway and the northernmost university of the world. Our central location in the High North, our broad and diverse research and study portfolio, and our interdisciplinary qualities make us uniquely suited to meet the challenges of the future. At UiT you can explore global issues from a close-up perspective.

Credibility, academic freedom, closeness, creativity and commitment shall be hallmarks of the relationship between our employees, between our employees and our students and between UiT and our partners.

Read the job description at the university homepage

Apply for this job

Deadline

21st November 2019

Post expires on Thursday November 21st, 2019

PhD Fellow in Clinical Bioinformatics

About the position

The Department of Clinical Medicine has a PhD Fellow position available for the degree of Philosophiae Doctor (PhD) in the field of meta-transcriptomics. The position is affiliated with the Genomics Support Centre (GSCT), headed by Professor Ruth Paulssen. The Research Fellowship is part of the GSCT project entitled: “Role of microbiota in the gut epithelial layer for Ulcerative Colitis (UC)”.

The PhD position is available to start from 4th January 2020 and is for a fixed term of 4 years with the objective to complete research training to the level of a doctoral degree. Admission to the PhD program is a prerequisite for employment, and the program period starts on commencement of the position. The PhD Fellow shall participate in the faculty’s organized research training, and the PhD project should be completed during the period of employment. Information about the application process for admission to the PhD program, application form and regulations for the PhD degree are available at the following address: Faculty of Health Sciences, uit.no/helsefak.

About the group

The Genomics Support Centre (GSCT) at UiT is a high throughput sequencing core facility that also provides bioinformatics assistance. The group carries out its own research within bioinformatics methods for analysis and interpretation of NGS data. For more info please visit the GSCT homepage.

About the research project

The research project aims to use the large amounts of publicly available data on the transcriptomes of inflammatory bowel disease (IBD) patients in conjunction with available data about protein-protein interactions and gene regulation to identify new ways of predicting treatment outcomes for IBD patients. IBD, a group of autoimmune diseases of the gastrointestinal tract, affect estimated 2.5-3.5 million individuals in Europe alone, incurring an annual treatment cost of 4.6-5.6 billion Euros. The underlying mechanisms of IBD involve a combination of genetic predisposition and environmental factors that cause an aberrant activation of the immune system. There are large individual variations in disease progression and treatment response and there is therefore a need for more research aimed at identifying the best treatment options for the individual.

The candidate will apply bioinformatical and statistical methods on established meta-transcriptional data in order to understand how the interplay between human gut microbiota and host barrier inside the gut mucosa affect treatment response in  ulcerative colitis (UC). Secondly, the candidate will apply machine learning methods in order to identify specific microbes or microbial genes that influence UC drug response or disease progression. Experimental validation of the in silico results, including microbiological analysis will be applied in order to understand the human- gut microbe interaction for UC.

Qualification requirements

The successful applicant must have a Master’s Degree in a relevant discipline (e.g. metagenomics, microbiology, bioinformatics, molecular biology) and display a strong interest in applying computational methods to biological and medical research. Candidates should preferably have experience in analyzing large datasets with bioinformatical and statistical methods. The candidate must be able to function in an interdisciplinary research team with coworkers from diverse training backgrounds. Emphasis will also be placed on the communication and collaboration skills and the motivation and interest the candidate displays for the project.

The successful applicant must fulfill the requirements for admission to the faculty’s PhD program, cf. Regulation for the degree of Philosophiae Doctor (PhD) at UiT – The Arctic University of Norway. The applicant must speak and write English fluently and he/she has to be able to document proficiency in English equivalent to Norwegian Higher Education Entrance Qualification, refer to the website about PhD regulations at UiT for acceptable documentation.

Candidates at the final stages of Master Degree are also qualified to apply but must provide documentation of graduating before hiring.

Working conditions

The normal period of employment is four years, corresponding to the nominal length of the PhD program including one year teaching.

Remuneration for the position of PhD candidate is in accordance with the State salary scale code 1017 or code 1378 depending on qualifications. A compulsory contribution of 2 % to the Norwegian Public Service Pension Fund will be deducted. All workers in Norway are provided health insurance.

More practical information for working and living in Norway can be found here: Welcome to UiT!

How to apply

Application and submitted documents (see below) should be sent electronically via the application form available on www.jobbnorge.no. Candidates that do not provide required documentation or cannot prove the equivalence to required degree will not be considered for the position.

Application documents:

  • Cover letter explaining your motivation and research interests
  • CV containing an overview of education, supervised professional training and professional work and teaching experience
  • Copies of diploma and transcript from completed Bachelor’s degree
  • Copies of diploma and transcripts from Master’s degree
  • Documentation of English proficiency
  • Up to 3 reference letters with contact details of the referees
  • A copy of the Master’s thesis (the thesis will upon request be treated in confidence) and any other works that are to be taken into consideration during the assessment

Applications will only be considered if all requested application documents are received before the application deadline.

Assessment

The applicants will be assessed by an expert committee. During this assessment process, emphasis will be placed on the applicant’s potential for research as shown by the Master thesis and any other academic works included with the application.

In addition, consideration may be given to work experience or other activities of significance for the implementation of the PhD studies, including any teaching qualifications.. The applicants who are assessed as the best qualified will be invited to an interview. The interview serves, among other things, to clarify the applicant’s personal suitability for the position.

Contact

Further information about the position and project is available by contacting professor Ruth H. Paulssen, tel: +47 77 64 54 80, ruth.h.paulssen@uit.no, senior researcher Christopher G. Fenton, christopher.fenton@uit.no, or associate professor Rafi Ahmad, rafi.ahmad@uit.no.  

General Terms

Applicants may also refer to the Supplementary regulations for appointment to postdoktor (Postdoctoral Research Rellow), stipendiat (PhD) and vitenskapelig assistent (Research Assistant) positions at the University of Tromsø and to the Regulations concerning terms and conditions of employment for posts of postdoktor (Postdoctoral Research Fellow), stipendiat (PhD), vitenskapelig assistent (Research Assistant) and spesialistkandidat (Resident)

Questions concerning the organization of the working environment, such as the physical state of the place of employment, health service, possibility for flexible working hours, part time, etc. may be directed to the telephone reference in this announcement.

UiT – The Arctic University of Norway has HR policy objectives that emphasize diversity, and therefore encourages qualified applicants to apply regardless of their gender, functional ability and national or ethnic background.

UiT – The Arctic University of Norway is an IW (Inclusive Workplace) enterprise, and will therefore emphasize making the necessary adaptations to the working conditions for employees with reduced functional ability.

Personal data given in an application or CV will be processed in accordance with the Act relating to the processing of personal data (the Personal Data Act). In accordance with Section 25 subsection 2 of the Freedom of Information Act, the applicant may request not to be registered on the public list of applicants. However, the University may nevertheless decide that the name of the applicant will be made public. The applicant will receive advance notification in the event of such publication.

Welcome to UiT!

UiT The Arctic University of Norway

UiT The Arctic University of Norway is a multi-campus research university and the northernmost university of the world. Our central location in the High North, our broad and diverse research and study portfolio, and our interdisciplinary qualities make us uniquely suited to meet the challenges of the future. At UiT you can explore global issues from a close-up perspective.

Credibility, academic freedom, closeness, creativity and commitment shall be hallmarks of the relationship between our employees, between our employees and our students and between UiT and our partners.

The Faculty of Health Sciences at UiT, The Arctic University of Norway, is a national innovation which brings together a wide range of health-related education pathways. This lays the groundwork for a unique level of interdisciplinarity and innovation in health education and research. We work closely with northern services in order to find solutions for tomorrow’s challenges.

Read more about us at www.uit.no/helsefak.

Read the job description at the university homepage

Apply for this job

Deadline

20th October 2019

Post expires on Sunday October 20th, 2019