Previous projects

Summer projects 2024:

1: Assessing the price of green finance (Natural Sciences)

  • Project description
  • Supervisors: Fred Espen Benth, Department of Mathematics
  • Project suitable for: Master student.
  • Preferred academic background: Mathematics, statistics and economics, possessing computational skills and with a strong interest in sustainable finance and mathematics.
  • Expected research period: The project period will be agreed with the supervisor, Fred Espen Benth.

 

2: Correlating Hydrogen-Related Defects with Degradation in Silicon Solar Cells (Natural Sciences)

  • Project description
  • Supervisors: Nicole A?mann and Eduard Monakhov, Department of Physics.
  • Project suitable for: Students at bachelor and master level.
  • Preferred academic background: Interest in material properties, solid state physics/chemistry, and some laboratory experience. Experience in data evaluation of spectroscopical data and a curiosity for defects in solid state materials are desirable.
  • Expected research period: Starting in July 2024, ending mid-August 2024.

3: Designing a methodology for integrating community acceptance of wind energy into energy system modelling (Natural Sciences and Social Sciences)

  • Project description
  • Supervisors: Paola Velasco Herrejón and Marianne Zeyringer, Department of Technology Systems.
  • Project suitable for: Students at bachelor and master level.
  • Preferred academic background: Psychology, Development, Environmental Sciences, Human Geography, Social Anthropology, Economics, or closely related subject areas. Candidates studying Energy Systems or other Energy related subjects with an interest in learning qualitative data collection and analysis are also highly encouraged to apply.
  • Expected research period: The project will ideally start from May 2024, but can also begin during the summer recess.

4: Education in Energy, Technology, and Environment (Natural Sciences and Social Sciences)

  • Project description
  • Supervisors: Sebastian Zieglmeier and Paal Engelstad, Department of Technology Systems.
  • Project suitable for: Students at bachelor and master level.
  • Preferred academic background: Interest in education, energy and environment is satisfying.
  • Expected research period: The project period is flexible and will be determined collaboratively between the supervisor and the selected student.

5: Efficient Large-scale Machine Learning (Natural Sciences)

  • Project description
  • Supervisors: Ali Ramezani-Kebry, Department of Informatics.
  • Project suitable for: Master student.
  • Preferred academic background: Computer Science, Statistics, Machine learning, Data Science, Mathematics, Physics, Engineering, or other relevant field.
  • Expected research period: The project period is flexible and will be determined collaboratively between the supervisor and the selected student.

6: Experimental Introduction to Electrochemistry (Natural Sciences)

7: Feedback between fluid and solid dynamics at the tip of a fracture (Natural Sciences)

  • Project description
  • Supervisors: Fabian Barras and Gaute Linga.
  • Project suitable for: Students at bachelor and master level.
  • Preferred academic background: Physics, Mechanics, Geoscience or Computational Science. Basic programming skills (C++ and/or Python) and knowledge of fluid mechanics is required. Some knowledge of solid mechanics and thermodynamics is an advantage.
  • Expected research period: Six week duration beginning in April or May. Reduced hours are possible for an extended duration.

8: Formative evaluation of school workshops to co-create the energy transition (Natural Sciences and Social Sciences)

  • Project description
  • Supervisors: Beate Seibt, Charles Samuelson, Marianne Zeyringer and Karin Fossheim.
  • Project suitable for: Master student.
  • Preferred academic background: Master studies in Social, Educational, or Natural Sciences with an interest in climate change mitigation or the energy transition. Experience with teaching or conducting workshops is a big advantage.
  • Expected research period: Part-time April-October.

9: GPU-accelerated Lattice Boltzmann Method (LBM) for Studying Fluid Flow and Solute Transport in Porous Media - Applications in Geoenvironment (Natural Sciences)

 

10: Green hydrogen from air (Natural Sciences)

  • Project description
  • Supervisors: Sabrina Sartori.
  • Project suitable for: Master student.
    • Outstanding Bachelor students can also be considered.
  • Preferred academic background: Materials Science, Renewable Energy, Chemistry, Engineering, Physics. Have some experimental experience in a chemistry/physics/engineering laboratory. Interest in data collection and analysis
  • Expected research period: Summer 2024.

11: Kommunens rolle ved vern av myr (Social Sciences)

  • Project description
  • Supervisors: Sigrid Stokstad.
  • Project suitable for: Bachelor- og masterstudent.
  • Preferred academic background: Kandidatene som s?ker m? beherske norsk flytende b?de skriftlig og muntlig. Samfunnsvitenskapelig eller juridisk bakgrunn er et krav, og det er en fordel ? ha erfaring med dokument- og tekstanalyse. Gode analytiske og skriftlige framstillingsevner er forventet.
  • Expected research period: Arbeidet skal gjennomf?res i tiden mai 2024 – september 2024. Rapport fra prosjektet skal ferdigstilles til 30. september og er beregnet til ? ta seks uker i fulltids arbeid. Arbeidet med rapporten kan fordeles i tidsrammen for gjennomf?ring. Prosjektet kan revideres ved oppstart etter samtale mellom student og veileder.

12: Mapping Mining: Visualising the social and environmental impacts of mining for the Twin Transition (Natural Sciences and Social Sciences)

  • Project description
  • Supervisors: Maja Van Der Velden and Andrea Alessandro Gasparini
  • Project suitable for: Master student.
  • Preferred academic background: We are looking for a mixed team of master students with one or more of the following background/skills:
    • Programming skills.
    • Design background, such as user experience (UX) or interaction design.
    • Background in Geology, Human Geography, Anthropology and related studies.
  • Expected research period: Eight weeks in the period June 1st until mid-August 2024.

13: Nuclear propulsion, tying the world together, one split atom at a time (Natural Sciences)

  • Project description
  • Supervisors: Sunniva Siem, Ole Reistad and Marius Torsvoll.
  • Project suitable for: Students at bachelor and master level.
  • Preferred academic background: Physics and informatics. Understanding and interest in physics and programming is paramount.
  • Expected research period: Six week duration beginning at any time between April 1st and September 15th, 2024.

14: Optical resolution of chemical mixing in flows through rocks and soils (Natural Sciences)

  • Project description
  • Supervisors: Kevin Pierce, Paula Reis, Khobaib Khobaib and Gaute Linga.
  • Project suitable for: Students at bachelor and master level.
  • Preferred academic background: Physics, Geoscience, Mathematics, or Engineering, with interest in fluid dynamics or hydrology. Optics, fabrication, or programming experience would be an advantage. Specific projects will be tailored to students’ skills. We welcome applicants with diverse backgrounds.
  • Expected research period: Six week duration beginning in April or May. Reduced hours are possible for an extended duration.

15: Quantitative assessment of school workshops to co-create scenario-based energy transition (Natural Sciences and Social Sciences)

16: Research on Power Profiles in Microgrids (Natural Sciences)

  • Project description
  • Supervisors: Sebastian Zieglmeier and Paal Engelstad
  • Project suitable for: Students at bachelor and master level.
  • Preferred academic background: Electrical Engineering, Computer Science, Renewable Energy Systems, Mathematics or related fields are encouraged to apply.
  • Expected research period: The project period is flexible and will be determined collaboratively between the supervisor and the selected student.

 

17: Review on AI-Based Digital Twins for Energy Systems (Natural Sciences)

  • Project description
  • Supervisors: Sebastian Zieglmeier and Paal Engelstad
  • Project suitable for: Students at bachelor and master level.
  • Preferred academic background: Electrical Engineering, Computer Science, Renewable Energy Systems, Mathematics or related fields are encouraged to apply. Knowledge of Programming, Modelling or an interest in AI would be beneficial.
  • Expected research period: The project period is flexible and will be determined collaboratively between the supervisor and the selected student.

18: Review on Modelling a Microgrid with Python (Natural Sciences)

  • Project description
  • Supervisors: Sebastian Zieglmeier and Paal Engelstad
  • Project suitable for: Students at bachelor and master level.
  • Preferred academic background: Electrical Engineering, Computer Science, Renewable Energy Systems, Mathematics or related fields are encouraged to apply. Knowledge of Python programming, Modelling or an interest in AI would be beneficial.
  • Expected research period: The project period is flexible and will be determined collaboratively between the supervisor and the selected student.

19: Samskaping med ungdom - Case Str?ms? (Social Sciences)

  • Project description
  • Supervisors: Ole Sm?rdal og Anja Amundrud.
  • Project suitable for: Bachelor- og masterstudent.
  • Preferred academic background: Prosjektet passer for studenter med interesse for demokrati og medborgerskap som tverrfaglige tema i skolen, og som vil v?re med p? ? utvikle nye verkt?y, metoder og praksiser. Formell bakgrunn er enten opptak til en master i utdanningsfeltet, eller opptak som bachelorstudent i UiOs nye B?rekraftsertifikat.
  • Expected research period: Tidligste start er 1. april. Prosjektet m? v?re ferdigstilt innen 1. oktober.

20: Digital ocean lab for research on robotic autonomy (Natural Sciences)

21: Sustainable academic mobility (Social sciences)

  • Project description
  • Supervisors: Johannes Volden and ?yvind Sundet, with oversight from Tanja Winther.
  • Project suitable for: Master student.
  • Preferred academic background: The assignment is open to all candidates with at least one year of studies at the master’s level. Candidates must be proficient in a Scandinavian language.
  • Expected research period: The work is to take place in the summer 2024 and the report is to be submitted by September 1 to Volden/Sundet (unless otherwise agreed). See more info in the project description.

22: The Ecological Gentrification of Food (Social sciences)

  • Project description
  • Supervisors: Arve Hansen and Per Gunnar R?e.
  • Project suitable for: Master student.
  • Preferred academic background: Human geography and similar social science disciplines (including Sociology, Anthropology and Political Science), as well as master candidates in Development, Environment and Cultural Change.
  • Expected research period: June – September 2024 (tentative).

 

23: The Sustainability of High-rise Buildings (Social sciences)

  • Project description
  • Supervisors: Tanja Winther, Hege Westskog and Per Gunnar R?e.
  • Project suitable for: Master student.
  • Preferred academic background: Human geography and similar social science disciplines (including Sociology, Anthropology and Political Science), as well as master candidates in Development, Environment and Cultural Change. Students must have proficiency in a Scandinavian language, to be able to read documents and web pages in Norwegian.
  • Expected research period: June – September 2024 (tentative)

24: Tool Development for spatial thickness and composition distribution prediction in combinatorial PLD thin films (Natural sciences)

  • Project description
  • Supervisors: Holger von Wenckstern, Kevin Gregor Both and Magnus Andreassen.
  • Project suitable for: Students at bachelor and master level.
  • Preferred academic background: Natural Sciences. Please see project description.
  • Expected research period: The project period is flexible and will be determined collaboratively between the supervisor and the selected student.

25: Unveiling the evolution of mineral precipitates and porous rock geometry during CO2 injection into sandstone and basalt storage reservoirs (Natural sciences)

 

Published Feb. 28, 2025 12:19 PM - Last modified Feb. 28, 2025 12:19 PM
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