Systeemianalyysin laboratorion kesätyöpaikat

Systeemianalyysin laboratorio ottaa kesäksi 2022 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 25.1.2022. Ohjeet löytyvät 10.1.2022 lähtien sivulta https://math.aalto.fi/fi/ajankohtaista/.

Lisätietoa aiheista antavat alla mainitut henkilöt. Yleisiin tiedusteluihin vastaa prof. Nuutti Hyvönen (etunimi.sukunimi@habaalitxof.ufmia).

 

Palkkaamme kesäksi:

Summer jobs at the Systems Analysis Laboratory

The Systems Analysis Laboratory is hiring interns for the summer of 2022. 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 25.1.2022. Instructions will be available on Jan 10 at https://math.aalto.fi/en/current/.

For more information on a specific topic, contact the topic's contact person. General questions should be directed to Prof. Nuutti Hyvönen (firstname.lastname@habaalitxof.ufmia).

We are looking for:

  1. One or more students to work on the development and implementation of decision models for risk management. Potential application areas include adversarial risk analysis for safety and security as well as scenario analysis of safety-critical systems. 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 or more students to work on 1) the development of measurement techniques of team performance in air combat and 2) the development of a working memory training tool used in the analysis of fighter pilots’ working memory capacity. Familiarity with MATLAB and basic statistical analysis is required. Ability to build smart phone friendly software is desired (topic 2). For details, contact Professor Kai Virtanen.

  3. A student to work on the modelling of energy systems. The project consists of developing an optimization model for planning the development of the production and distribution of energy under alternative scenarios. Familiarity with linear/integer programming and experience with Julia language and GitHub are required. Please contact Professor Fabricio Oliveira for further information.

  4. A student to work on Markov Decision Process based optimization modelsfor maintenance scheduling. The position requires skills to implement developed optimization models with Python. Basic knowledge of stochastic processes and simulation are useful. For details, contact M.Sc. (Tech.) Jussi Leppinen or Professor Antti Punkka.

  5. A student to work on Efficient Computational Methods for Bi-Level Transmission-Planning Models. We aim to develop suitable solution methods for tackling mixed-integer linear programming (MILP) and mixed-integer quadratically constrained quadratic programming (MIQCQP) problem instances necessary to inform transmission planning in the Nordic power sector. Familiarity with decomposition methods in optimisation, programming skills in GAMS or MATLAB, and an interest in energy/environmental issues are required. Please contact Afzal Siddiqui for details.

  6. 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 (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/current/summer_trainees/ 

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