Systeemianalyysin laboratorion kesätyöpaikat

Systeemianalyysin laboratorio ottaa kesäksi 2020 töihin tutkimusapulaisia. Työt alkavat tyypillisesti kesäkuun alussa ja päättyvät elokuun lopussa, mutta myös muuta voidaan sopia. Osa aiheista soveltuu myös 1.-2. vuoden opiskelijoille. Halukkaat voivat syksyllä jatkaa töitä osa-aikaisesti tuntitöinä ja/tai kurssien assarointien muodossa.

Työt voidaan muotoilla siten, että niistä saa raportoitua kandidaatintyön tai erikoistyön. Kandidaatintyön suorittajat valmistelevat aiheen ohjaajan kanssa työsuunnitelman kesäkuussa järjestettävään seminaarikokoontumiseen (ks. seminaarin sivut). Useista aiheista on mahdollisuus jatkaa diplomityöhön asti.

Kerro hakemuksessasi mistä tehtävistä (numeroinnin 1-N mukaisesti) olet kiinnostunut. Voit halutessasi myös ilmaista kiinnostuksesi ilmoittamiesi tehtävien välillä.

Hakemus jätetään sähköisesti. Haku päättyy 12.2.2020. Ohjeet löytyvät sivulta https://math.aalto.fi/fi/ajankohtaista/ ja suora linkki sähköiseen hakemukseen täältä.

Lisätietoa aiheista antavat alla mainitut henkilöt. Yleisiin tiedusteluihin vastaa Mikko Harju (etunimi.sukunimi@aataplstbol.zfvis).

 

Palkkaamme kesäksi:

Summer jobs at the Systems Analysis Laboratory

The Systems Analysis Laboratory is hiring interns for the summer of 2020. The summer jobs usually last from the start of June until the end of August, but other arrangements are also possible. Some of the topics are also suitable for first or second year students. There are also opportunities for summer interns to keep working after the summer on a part-time basis as research and/or teaching assistants.

Interns typically produce a bachelor’s thesis or a special assignment related to their research work. Students doing their bachelor’s theses will prepare a working plan with their advisor for the seminar gathering in June. Many of the topics offer a possibility to continue research work to master’s thesis phase.

In your application, please specify the topics (1-N) that you are interested in. You can also provide an order of preference for the topics you are interested in.

Applications for summer internships are submitted electronically. The deadline for applications is 12.2.2020. Instructions are available at https://math.aalto.fi/en/current/ and a direct link to the electronic application system here.

For more information on a specific topic, contact the topic's contact person. General questions should be directed to Mikko Harju (firstname.lastname@aataplstbol.zfvis).

 

We are looking for:

  1. One or more students to work on the development and implementation of decision models for risk management and cost-efficiency analysis. Potential application areas include adversarial risk analysis for combat modeling and scenario analysis of safety-critical systems, including nuclear waste repositories. Knowledge of the basics of optimization theory, risk analysis and/or investment science will be helpful. For details, contact Professor Ahti Salo and MSc (Tech) Juho Roponen.

  2. One student to work on the development of decision models for the design of optimal growth strategies in platform businesses. This position is linked to on-going research activities between Prof. Ahti Salo and Prof. Taija Turunen from the Aalto University School of Business. Some knowledge of optimization (eg, MS-C2105 Introduction to Optimization) will be needed. For details, contact Prof. Ahti Salo.

  3. A student to work on the application of spatial decision analysis. The job relates to making decisions whose consequences are considered across some geographical region. Familiarity with optimization (the course MS-C2105 Introduction to Optimization is sufficient) and MATLAB is required. Prior knowledge of decision analysis is beneficial but not necessary. For details, contact M.Sc. (Tech.) Mikko Harju or Professor Kai Virtanen.

  4. A student to work on an economic dispatch model of the Nordic power system in order to assess how hydro-reservoir operations are affected by variable renewable energy sources (VRES), viz., solar and wind. The project involves developing either a cost-minimizing linear program (LP) or a welfare-maximizing quadratic program (QP) with a detailed representation of VRES output, conventional plants' technical constraints, hydro reservoirs, water availabilities, and transmission flows. Familiarity with optimization, e.g., LPs or QPs, is desirable. Please contact Professor Afzal Siddiqui for further information.

  5. A student to work on the modelling of multi-stage decision problems. The project consists of developing a Julia package that would allow for modelling and optimising decision problems with multiple decision steps and uncertainty sources. Familiarity with linear/integer programming and experience with Julia language are required. Please contact Professor Fabricio Oliveira or Professor Ahti Salo for further information.

  6. A student to work on the modelling of renewable fuels supply chains. The project consists of developing a optimization model that would allow for planning the development of the production and distribution of renewable fuels under alternative scenarios. Familiarity with linear/integer programming and experience with Julia language are required. Please contact Professor Fabricio Oliveira for further information.

  7. A student to work on the development of an optimization model for risk-constrained resource management. The position requires basic knowledge in optimization. Knowledge of decision analysis and/or dynamic programming / optimization and programming skills are a benefit. For details, contact Professor Antti Punkka or Mr. Jussi Leppinen.

  8. A student to research numerical applications of optimization and to develop numerical optimization algorithms and tools for visualizing the results in MATLAB. For details, contact Professor Harri Ehtamo.

  9. Your own topic proposal related to the laboratory's research or teaching. If you have a suggestion, be in contact with the laboratory's professors (Harri Ehtamo, Risto Lahdelma, Fabricio Oliveira, Antti Punkka, Ahti Salo, Kai Virtanen) prior to submitting your application.

Laitoksen muiden tutkimusryhmien aiheet löytyvät osoitteesta https://math.aalto.fi/en/studies/bachelor/topics/.

Visit https://math.aalto.fi/en/studies/bachelor/topics/ for our department's other research groups' topics.