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Masters Thesis Worker/-S On Compound Semiconductor Energy Converters

Published date Yesterday
Posted: Yesterday
Company Aalto University
Company: Aalto University
Location Espoo
Location: Espoo

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14 000 students, 400 professors and close to 5000 other faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community.

The Engineered NanoSystems (ENS research group) at the Department of Neuroscience and Biomedical Engineering at Aalto University School of Science is looking for

Masters thesis worker/-s on compound semiconductor energy converters

We are looking for masters thesis worker/-s to work on thermophotonic and electrochemical energy converters based on III-V compound semiconductors.  Our work spans the full range of topics from epitaxial growth and material development to device design, characterization and modeling, fully integrating activities joining a team of theoreticians and experimentalists.

Master´s thesis topics

For the master's thesis topics there are several options depending on the candidate's background and plans to continue towards a doctoral degree.

On the modeling side these include, in particular, topics related with

   - Charge Transport in semiconductors, e.g. developing scipy based partial differential equation solvers for semiconductor transport and comparing them with FEM based models implemented with comsol. The background studies for this topic would ideally cover semiconductor physics and partial differential equations, as well as understanding of the related numerical computing techniques and programming.

-Photon transport models for describing light generation in material stacks representing LEDs and extending the models towards ray tracing approaches allowing to model more complex device geometries. The background studies for this topic ideally cover fundamental optics, electromagnetics and semiconductor physics, as well as related programming and scripting languages.

Both topics can also well extend towards doctoral studies where they would couple with each other and the experimental work in the group.

On the experimental side the topics can involve

  - Various device processing and process development tasks, starting from testing new ohmic contact structures and extending to full device development as a doctoral thesis topic. The background studies here could include semiconductor technology and microfabrication.

  - Device analysis and characterization targeting better understanding of the performance and temperature dependencies of high efficiency LEDs. Ideal background studies could include semiconductor technology, measurement automation and/or machine learning.

We are looking for a candidates with good team working and social skills and a good command of English. In addition resourcefulness and aptitude for independent and open minded thinking are highly valued.
 

About the Engineered NanoSystems (ENS) research group 

The work at ENS combines the research of optical thermodynamics with semiconductor based energy conversion, forming one of the leading clusters for the termophotonics research. The group aims to demonstrate and develop optical heat pumps and energy harvesting approaches that are based on electroluminescence, as well as to lay ground for new types of semiconductor based chemical energy converters. While presently based at the university and providing a cutting edge environment for academic research, we also have a strong ambition towards enabling broader use of the developed technologies outside the university environment.

What we offer

You will be working in a research team of ~10 persons working on closely connected topics. The research takes place at Aalto University and Micronova clean room facilities, located at Espoo, Finland. Micronova is the largest clean room facility in the nordic countries.

The length of the contract is 6 months for a master's student when working full time. Working time is 36,25 hours/week. The salary level for masters thesis worker is 2378€/month.  We wish to fill the positions as soon as possible.

We value work-life balance and well-being in all aspects of life. We work in a hybrid model, with the primary workplace located at the Otaniemi Campus in Espoo.

Join us!

If you are interested, kindly submit the following documents (PDFs, written in English) at latest 14 April 2025 (23:59 finnish time) through our recruitment site ("Apply now!”)

  • motivation letter,
  • CV,
  • Up-to-date transcript of study records of studies (unofficial is ok) and /or copy of your most recent degree diploma/-s
  • any other documents that explain your suitability and support your application

Applications are reviewed periodically and the call may also be closed earlier if suitable candidates are found.

 If you have further enquiries on the tasks, positions or the ENS team, please contact Jani Oksanen by email at jani(dot)oksanen(at)aalto.fi

For general questions about the recruiting process you may contact Jenni ståhl, HR partner jenni(dot)stahl(at)aalto.fi

Exceptions when applying:
Are you already an employee at Aalto University? Do NOT click the "Apply Now" button. You have to apply for the job as an internal candidate via Workday Internal Jobs. Other ways are not possible. See instructions here How to apply internal job | Aalto University

Are you a student at Aalto?In case you have an Aalto email address but you are NOT employed by Aalto University, please apply using your personal email address (not Aalto email address).

Further information:

Affiliated projects:

TPX-Power (tpx-power-h2020.eu)

OPTAGON (optagon-h2020.eu)

PREIN (www.prein.fi)

Academy of Finland projects CryOPTO and MAPS

Aalto university:

www.aalto.fi

Micronova clean room facilities:

https://www.aalto.fi/en/otanano/micronova

Background papers

https://www.nature.com/articles/s41566-020-0600-6

More about Aalto University / Lisää Aalto-yliopistosta:

Aalto.fi
youtube.com/user/aaltouniversity
linkedin.com/school/aalto-university/
www.facebook.com/aaltouniversity
instagram.com/aaltouniversity

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