Systeemianalyysin laboratorion kesätyöpaikat / Summer jobs at the Systems Analysis Laboratory

 

Systeemianalyysin laboratorio ottaa kesäksi 2019 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 1-8 mukaisesti) olet kiinnostunut. Voit halutessasi myös ilmaista kiinnostuksesi ilmoittamiesi tehtävien välillä.

Hakemus jätetään sähköisesti. Haku päättyy 14.2.2019. 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@aalto.fi).

 

The Systems Analysis Laboratory is hiring interns for the summer 2019. 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 (1-8) 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 14.2.2019. 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@aalto.fi).

 

Palkkaamme kesäksi / We are looking for:

  1. One or more students to work on the development and implementation of decision models for assisting companies and public organizations in investment appraisal, risk management and cost-efficiency analysis. Potential application areas include adversarial risk analysis, risk management of safety-critical systems, and optimization of diagnostic strategies in healthcare. Knowledge of the basics of optimization theory and/or investment science will be helpful. For details, contact Professor Ahti Salo and MSc (Tech) Juho Roponen.

  2. A student to work on the application of spatial multi-attribute decision analysis. The job requires familiarity with optimization (the course MS-C2105 Introduction to Optimization is sufficient) and MATLAB. Prior knowledge of decision analysis is beneficial, but not necessary. For details, contact M.Sc. (Tech.) Mikko Harju or Professor Kai Virtanen.

  3. One or more students to work on the development of optimization models for risk-constrained resource management. The research will deal with a general framework, with potential applications ranging from maintanance problems to forest management. The focus is tailored according to the student's own interests and progress in studies. The position requires basic knowledge in optimization. Knowledge of decision analysis and/or dynamic programming / optimization are a benefit. For details, contact Professor Antti Punkka or Dr. Tommi Ekholm.

  4. A student to work on the development and implementation of stochastic programming models for inventory management under demand uncertainty. The context of the application is the blood supply chain, in which these models are used as decision support tools to help hospitals define ordering policies that minimize wastage of blood units and the risks of shortage simultaneously. The programming language of use will be Julia. Knowledge of optimization and programming skills are requirements, but knowledge of Julia is not mandatory. For details, please contact Ellie Dillon or Professor Fabricio Oliveira.

  5. A student to develop models for shelf space allocation planning, with applications in retails services. The student will work on developing an optimisation model to automatically design shelf planograms, taking into account display rules and retail practices. The programming language of use will be Julia. Knowledge of optimization and programming skills are requirements, but knowledge of Julia is not mandatory. For details, please contact Professor Fabricio Oliveira.

  6. A student to develop an optimization procedure for decision problems with endogenous probabilities (i.e. probabilities that depend on the decision maker's earlier actions). The work extends recent research in the Laboratory on a new approach called decision programming, and will be targeted to an application considering how one can measure the influence of technological development in climate change mitigation strategies. The applicant should have good understanding of optimization theory and mathematical programming modelling, and be at the final stage of studies (ready to start one’s MSc thesis) or recently graduated. For details, please contact Professor Fabricio Oliveira or Dr. Tommi Ekholm.

  7. 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.

  8. Your own research topic proposal, which is 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).

     

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