PhD Research Fellow in Informatics – (energy informatics, optimization and data science)

PhD Research Fellow in Informatics – (energy informatics, optimization and data science)
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PhD Research Fellow in Informatics – (energy informatics, optimization and data science)

There is a vacancy for a PhD Research Fellow within energy informatics on “Sustainable Multimodal Transport Planning in Smart Cities” project at the Department of Informatics .

The position is for a fixed-term period of 4 years.

 

About the Department

Digitization of businesses, industry, public administration, and education makes informatics play an increasingly important role in the development of the society. Research and education in informatics are crucial for the digital transformation of the society to succeed. The Department of Informatics contributes to this through seven research groups that deliver research and education at a high international level in algorithms, bioinformatics, information security, machine learning, optimization, programming theory and visualization. We are also building up a group in computer science didactics. The department offers education for the future at Bachelor, Master and PhD levels. The department is in rapid growth regarding its number of students, research directions, and employees. We have today about 1000 students, and 150 employees, among which 37 are faculty and 70 PhD candidates. We have established the Center for Data Science (CEDAS ) as an important extension of our research and education activities.

About the project/work tasks:

All employees are expected to contribute to excellence through high quality research and teaching. The working environment for this position will be at Optimization research group, which conducts research and teaching in Operations Research, analytics, and data science.

In recent years, supply chain and logistics observe increasing concerns on energy usage, climate gas emissions, wastes, and environmental considerations. The project “Sustainable Multimodal Transport Planning in Smart Cities” addresses central challenges in climate and energy transition – how do we achieve more efficient transport systems, to reduce emissions and other costs on society and to improve land use?

The future state of transport systems in smart cities, where all information is connected and shared, requires taking advantage of innovative solutions such as intelligent and integrated multimodal transportation fleet (e.g. using autonomous electric trucks, cargo vessels, trains, plains, and drones) and novel solutions that deal with multimodal data (e.g., data analytics, machine learning and AI) in order to promote an effective use of resources and space and to have socially acceptable, and environmentally and economically sustainable transport systems for long-term performance.

For this position, we are looking for an excellent candidate, who has experience in analysing data, mathematical modelling, and developing heuristics to solve real-life optimization problems in transportation, logistic, and energy industry.

Qualifications and personal qualities:

• Applicants must hold a master’s degree or equivalent education in computer science or must have submitted his/her master’s thesis for assessment prior to the application deadline. It is a condition of employment that the master’s degree has been awarded.
• Research experience in mathematical modelling and in the application of heuristics and exact optimization methods to real-life problems is a requirement.
• Applicants must have excellent programming skills.
• Applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills.
• Applicants must be proficient in both written and oral English.
• Personal and relational qualities will be emphasized. Research experience, ambitions and potential will also count when evaluating the candidates.

Special requirements for the position

The University of Bergen is subjected to the regulation for export control system. The regulation will be applied in the processing of the applications.

About the PhD position:

About the PhD Research Fellow : The duration of the PhD Research Fellow is 4 years, of which 25 per cent of the time each year comprises required duties associated with research, teaching and dissemination of results.

The employment period may be reduced if you have previously been employed in a qualifying post (e.g. research fellow, research assistant).

About the research training:  As a PhD Research Fellow, you must participate in an approved educational programme for a PhD degree within a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Mathematics and Natural Sciences is 2 months after you start your position or after the start of the research project that will lead to the PhD degree.

It is a condition that you satisfy the enrolment requirements for the PhD programme at the University of Bergen.

We can offer:

• a good and professionally stimulating working environment
• employment as PhD Research Fellow (code 1017) in the basic collective agreement and a gross annual salary of NOK 501 200 (equivalent to pay grade 54). Further increases in salary are made according to length of service in the position.
• enrolment in the Norwegian Public Service Pension Fund
• good welfare benefits

Your application must include:

• A brief account of the applicant’s research interests and motivation for applying for the position
• The names and contact information for two referees. One of these should be the main advisor for the master’s thesis or equivalent thesis
• CV
• transcripts and diplomas showing completion of the bachelor’s and master’s degrees. If you have not yet completed your master’s degree, please submit a statement from your institution confirming that the master’s thesis has been submitted.
• Relevant certificates/references
• approved documentation of proficiency in English (if required, cf. English language requirements for PhD admission )
• A list of any works of a scientific nature (publication list)
• Any publications in your name

The application and appendices with certified translations into English or a Scandinavian language must be uploaded at Jobbnorge by 16.10.2022.

General information:

Detailed information about the position can be obtained by contacting: 

Associate Professor Ahmad Hemmati.

For HR related matters, please contact Lene Sørheim.

Employment is subject to approval with respect to the Norwegian export control legislation.

The state labour force shall reflect the diversity of Norwegian society to the greatest extent possible. People with immigrant backgrounds and people with disabilities are encouraged to apply for the position.

We encourage women to apply. If multiple applicants have approximately equivalent qualifications, the rules pertaining to moderate gender quotas shall apply.

  

The University of Bergen applies the principle of public access to information when recruiting staff for academic positions.

Information about applicants may be made public even if the applicant has asked not to be named on the list of persons who have applied. The applicant must be notified if the request to be omitted is not met.

The successful applicant must comply with the guidelines that apply to the position at all times.

For further information about the recruitment process, click here .

Life as a PhD candidate at UiB

Marion Claireaux tells about life and work as a PhD candidate at UiB.

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About UiB

The University of Bergen is a renowned educational and research institution, organised into seven faculties and approximately 54 institutes and academic centres. Campus is located in the centre of Bergen with university areas at Nygårdshøyden, Haukeland, Marineholmen, Møllendalsveien and Årstad. 

There are seven departments and several centres at Faculty of Mathematics and Natural Sciences. Read more about the faculty  and departments.  

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Deadline

16th October 2022

Employer

University of Bergen

Municipality

Bergen

Scope

Fulltime (1 jobs)
Fulltime

(%)

Duration

Fixed Term

Place of service

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