Summer jobs at the Systems Analysis Laboratory

The Systems Analysis Laboratory is hiring interns for the summer of 2024. 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 thesis 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 the master’s thesis phase.

In your application, please specify the topics (20-27) 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 January 2024. Instructions will be available on 10 January 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. Fabricio Oliveira Prof. Nuutti Hyvönen (firstname.lastname@aalto.fi).

We are looking for:

20. One or more students to work on the development and implementation of multi-stage decision models for risk management. Application areas include condition-based maintenance scheduling for safety-critical systems and scenario-based portfolio optimization to fortify interdependent networks. Knowledge of the basics of optimization theory, risk analysis, stochastic processes, and/or investment science will be helpful. For details, contact Professor Ahti Salo.
    
    
21. Several students to work on 1) the development of spatial decision analysis models – potential application areas include, e.g. controlling of air surveillance systems –, and 2) the development of decision analysis models based on measures of team performance in air combat. Knowledge of decision analysis and optimization are required. Moreover, familiarity with MATLAB and statistics are required. For details, contact Professor Kai Virtanen.
    
    
22. A student to work on the development of a national economy game. Knowledge of HTML, JavaScript and CSS are required. Moreoever, experience with simulation is helpful. Familiarity with C++ is of advantage. For details, contact Professor Kai Virtanen.
     
23. A student to work on optimisation-based representations of machine learning (ML) models. Applications include adversarial training of ML models, ML-based surrogates for simulation systems, and data-driven optimisation in the field of energy systems. Familiarity with machine learning (tree-based models and neural networks), linear/integer programming and experience with Julia language and GitHub are required. Please contact Professor Fabricio Oliveira for further information.
    
    
24. A student to work on the optimisation of influence diagrams for decision problems. You will be working with a Julia package DecisionProgramming.jl, which allows the user to give a parametrized influence diagram, and automatically reformulates it to an equivalent optimization problem. The main task for the summer is to implement a more efficient mixed-integer programming model into the package. You will be working in close collaboration with two doctoral researchers with experience in writing ad hoc -implementations of the improved model. Familiarity with linear/integer programming and experience with Julia language and GitHub are required. Please contact Professor Fabricio Oliveira for further information.
    
    
25. A student to work on combining scheduled and non-scheduled modes in transport systems. The project consists of developing, implementing and testing optimization models that integrate routing decision for non-scheduled modes like walking and biking into optimization problems in public transport planning. Familiarity with linear/integer optimization, an object-oriented programming language and Git/Gitlab are required. A basic knowledge of shell commands is of advantage. Please contact Assistant Professor Philine Schiewe for more information.
    
    
26. A student to work on sector coupling for environmental sustainability. We aim to develop Nash-Cournot models to understand how electrification of heating, industrial demand, and transport will affect strategic behaviour by producers in the Nordic power sector. Familiarity with game theory, optimisation, and time-series analysis is required. An interest in energy/environmental issues is desirable along with programming experience, e.g., GAMS or MATLAB. Please contact Afzal Siddiqui for details.
    
    
27. Your own topic proposal related to the laboratory's research or teaching. If you have a suggestion, be in contact with the laboratory's faculty (Fernando Dias, Risto Lahdelma, Fabricio Oliveira, Tuomas Raivio, Philine Schiewe, Ahti Salo, Kai Virtanen) prior to submitting your application.

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