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Stillingsannonse

PhD position within Spatial Mobility Analytics Norges miljø- og biovitenskapelige universitet (NMBU)

Søknadsfrist : 15.08.2021
About the position

The Faculty of Science and Technology at the Norwegian University of Life Sciences (NMBU) has a vacant PhD–position related to spatial mobility analytics. The PhD position is for a period of 3 years, or up to 4 years if teaching and other work duties are agreed.

Responding and adapting to the new reality after the COVID-19 pandemic, we need new urban intelligent and planning that create resilient and sustainable cities and communities (ref. Logg inn for å se kontaktinformasjon).

The aim of the proposed PhD project is to use heterogeneous data sets and technology to observe (changes in) mobility patterns of people before and after the COVID-19 pandemic. It is expected that the traditional homework commuting flow will give its place to new mobility patterns given huge shift towards remote-working culture. This major transformation in mobility within the urban ecosystem needs to be fully studied to not only support planning authorities with their promoted plan proposals but individuals with their commuting decisions.


Main tasks

The main activities will be linked to the following:

  • Developing data analytics, machine learning and knowledge discovery methods to advance the knowledge and understanding of how mobility patterns are formed and evolved in an urban dynamic system integrating heterogeneous data sets.
  • Analyzing costs and benefits of urban mobility changes across various spatial and temporal scales (e.g., possible disparities in mobility from neighborhoods to cities and regions and in pre / post COVID-19 pandemic periods).
  • Visualizing the findings with innovative methods to enhance fundamental knowledge on changes in mobility patterns in space and time and across scales.
  • Proposing intelligent human-centered urban mobility plans incorporating different qualitative/quantitative scenario-based approaches.

The successful candidate is expected to enter a plan for the progress of the work towards a PhD degree during the first months of the appointment, with a view to completing a doctorate within the PhD scholarship period.


Competence

In order to be appointed, the candidate must meet the requirements for admission to one of the PhD programs at NMBU. A master's degree of at least 120 credits (ECTS) is required, which is based on a bachelor's degree of at least 180 credits (ECTS), or cand.med.vet. degree, or integrated master's degree of at least 300 credits (ECTS). MSs thesis by 30. June 2021 may be considered. The applicant must have a documented strong academic background from previous studies, and be able to document good English skills, both written and oral. For more detailed information on admission criteria, see the Logg inn for å se kontaktinformasjon and the “Logg inn for å se kontaktinformasjon”.

The applicant must document expertise and interest in the research subject.

Required Academic qualifications

  • Master’s degree within Geomatics, GIScience, Computer Science, Data Science, or a related field.

The following experiences and skills will be emphasized:

  • Strong background in quantitative data analysis, computational modelling, and spatial-temporal data analysis
  • Practical experience in big data fusion and processing
  • Practical experience in machine/deep learning
  • Programming language (e.g., Python, R, JavaScript) 

You need:

  • Strong motivation and commitment.
  • Curiosity and high motivation for research.
  • Ability to work hard and independently.
  • Profound interest in collaborating in an interdisciplinary research team.
  • Strong communication skills, both written and oral English.

Practical experience within the mentioned required academic qualifications is required. We expect that the candidate will successfully publish research findings in high-impact peer reviewed journals.

Remuneration and further information

The PhD position is placed in government pay scale position code 1017.

PhD fellows are normally placed in pay grade 54 (NOK 491.200,-) on the Norwegian Government salary scale upon employment and follow ordinary meriting regulations.

Terms of employment are governed by Norwegian guidelines for PhD fellowships at Universities and University Colleges.

For further information, please contact Associate Professor 

Hossein Chavoshi (Logg inn for å se kontaktinformasjonLogg inn for å se kontaktinformasjon), phone Logg inn for å se kontaktinformasjon.

Logg inn for å se kontaktinformasjon and Logg inn for å se kontaktinformasjon


Application

To apply online for this vacancy, please click on the 'Apply for this job' button above. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Application deadline: 15.08.2021

Applications should include (electronically):

  • A letter of intent
  • Curriculum vitae
  • Full publication list
  • Copies of degree certificates and transcripts of academic records (all certified)
  • A list of two persons who may act as references (with phone numbers and e-mail addresses)
  • Proof of English proficiency must be attached in accordance with Logg inn for å se kontaktinformasjon

Publications should be included electronically within the application deadline. Printed material which cannot be sent electronically should be sent by surface mail to the Norwegian University of Life Sciences, Faculty of Science and Technology, P.O. Box 5003, NO-1432 Ås, within 15.08.2021. Please quote reference number 21/02703.

If it is difficult to judge the applicant’s contribution for publications with multiple authors, a short description of the applicant’s contribution must be included.


About The Faculty of Science and Technology

Logg inn for å se kontaktinformasjondevelops research-based knowledge and educates civil engineers and lecturers needed to reach the UN's sustainability goals. We have approximately 150 employees, 70 PhD students and soon 1500 students. The education and research at REALTEK cover a broad spectrum of disciplines.

This includes data science, mechanics and process engineering, robotics, construction and architecture, industrial economics, environmental physics and renewable energy, geomatics, water and environmental engineering, applied mathematics as well as secondary school teacher education in natural sciences and use of natural resources such as in agriculture, forestry and aquaculture. The workplace is in Ås, 30 km from Oslo.





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1. januar 2014 blir Norges veterinærhøgskole og Universitetet for miljø- og biovitenskap slått sammen til Norges miljø- og biovitenskapelige universitet (NMBU). Visjonen for universitetet er "Kunnskap for livet". Med mer enn 1600 ansatte og 5000 studenter har NMBU ressurser til å skape faglig synergi, utvikle nye tilbud og satsingsområder innen fakultetenes fagområder. Sektorens største byggeprosjekt skal gjennomføres på Campus Ås frem mot 2019, da universitetet vil bli samlokalisert på Ås. Sammen med de øvrige forskningsinstituttene på Campus Ås, har NMBU en unik mulighet til å være et nasjonalt og internasjonalt kunnskapssenter på strategisk viktige områder. Dette vil gi et stort løft for forskning innen bioproduksjon, veterinærmedisin, miljøteknologi, areal- og ressursforvaltning, økonomi og internasjonalt utviklingsarbeid.

Nærmere opplysninger om NMBU finnes på www.lifesciences.no
Les mer om Norges miljø- og biovitenskapelige universitet (NMBU)

Stillingsbeskrivelse

About the position

The Faculty of Science and Technology at the Norwegian University of Life Sciences (NMBU) has a vacant PhD–position related to spatial mobility analytics. The PhD position is for a period of 3 years, or up to 4 years if teaching and other work duties are agreed.

Responding and adapting to the new reality after the COVID-19 pandemic, we need new urban intelligent and planning that create resilient and sustainable cities and communities (ref. Logg inn for å se kontaktinformasjon).

The aim of the proposed PhD project is to use heterogeneous data sets and technology to observe (changes in) mobility patterns of people before and after the COVID-19 pandemic. It is expected that the traditional homework commuting flow will give its place to new mobility patterns given huge shift towards remote-working culture. This major transformation in mobility within the urban ecosystem needs to be fully studied to not only support planning authorities with their promoted plan proposals but individuals with their commuting decisions.


Main tasks

The main activities will be linked to the following:

  • Developing data analytics, machine learning and knowledge discovery methods to advance the knowledge and understanding of how mobility patterns are formed and evolved in an urban dynamic system integrating heterogeneous data sets.
  • Analyzing costs and benefits of urban mobility changes across various spatial and temporal scales (e.g., possible disparities in mobility from neighborhoods to cities and regions and in pre / post COVID-19 pandemic periods).
  • Visualizing the findings with innovative methods to enhance fundamental knowledge on changes in mobility patterns in space and time and across scales.
  • Proposing intelligent human-centered urban mobility plans incorporating different qualitative/quantitative scenario-based approaches.

The successful candidate is expected to enter a plan for the progress of the work towards a PhD degree during the first months of the appointment, with a view to completing a doctorate within the PhD scholarship period.


Competence

In order to be appointed, the candidate must meet the requirements for admission to one of the PhD programs at NMBU. A master's degree of at least 120 credits (ECTS) is required, which is based on a bachelor's degree of at least 180 credits (ECTS), or cand.med.vet. degree, or integrated master's degree of at least 300 credits (ECTS). MSs thesis by 30. June 2021 may be considered. The applicant must have a documented strong academic background from previous studies, and be able to document good English skills, both written and oral. For more detailed information on admission criteria, see the Logg inn for å se kontaktinformasjon and the “Logg inn for å se kontaktinformasjon”.

The applicant must document expertise and interest in the research subject.

Required Academic qualifications

  • Master’s degree within Geomatics, GIScience, Computer Science, Data Science, or a related field.

The following experiences and skills will be emphasized:

  • Strong background in quantitative data analysis, computational modelling, and spatial-temporal data analysis
  • Practical experience in big data fusion and processing
  • Practical experience in machine/deep learning
  • Programming language (e.g., Python, R, JavaScript) 

You need:

  • Strong motivation and commitment.
  • Curiosity and high motivation for research.
  • Ability to work hard and independently.
  • Profound interest in collaborating in an interdisciplinary research team.
  • Strong communication skills, both written and oral English.

Practical experience within the mentioned required academic qualifications is required. We expect that the candidate will successfully publish research findings in high-impact peer reviewed journals.

Remuneration and further information

The PhD position is placed in government pay scale position code 1017.

PhD fellows are normally placed in pay grade 54 (NOK 491.200,-) on the Norwegian Government salary scale upon employment and follow ordinary meriting regulations.

Terms of employment are governed by Norwegian guidelines for PhD fellowships at Universities and University Colleges.

For further information, please contact Associate Professor 

Hossein Chavoshi (Logg inn for å se kontaktinformasjonLogg inn for å se kontaktinformasjon), phone Logg inn for å se kontaktinformasjon.

Logg inn for å se kontaktinformasjon and Logg inn for å se kontaktinformasjon


Application

To apply online for this vacancy, please click on the 'Apply for this job' button above. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Application deadline: 15.08.2021

Applications should include (electronically):

  • A letter of intent
  • Curriculum vitae
  • Full publication list
  • Copies of degree certificates and transcripts of academic records (all certified)
  • A list of two persons who may act as references (with phone numbers and e-mail addresses)
  • Proof of English proficiency must be attached in accordance with Logg inn for å se kontaktinformasjon

Publications should be included electronically within the application deadline. Printed material which cannot be sent electronically should be sent by surface mail to the Norwegian University of Life Sciences, Faculty of Science and Technology, P.O. Box 5003, NO-1432 Ås, within 15.08.2021. Please quote reference number 21/02703.

If it is difficult to judge the applicant’s contribution for publications with multiple authors, a short description of the applicant’s contribution must be included.


About The Faculty of Science and Technology

Logg inn for å se kontaktinformasjondevelops research-based knowledge and educates civil engineers and lecturers needed to reach the UN's sustainability goals. We have approximately 150 employees, 70 PhD students and soon 1500 students. The education and research at REALTEK cover a broad spectrum of disciplines.

This includes data science, mechanics and process engineering, robotics, construction and architecture, industrial economics, environmental physics and renewable energy, geomatics, water and environmental engineering, applied mathematics as well as secondary school teacher education in natural sciences and use of natural resources such as in agriculture, forestry and aquaculture. The workplace is in Ås, 30 km from Oslo.





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Søknadsfrist : 15.08.2021

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