Neste is looking for a Junior Supply Chain Development Specialist to their our Supply Chain Management (SCM) team in Espoo to  carry out a logistics study. The position is a full-time, fixed-term contract for 12 months, starting earliest in September-October 2021. Our office is in Espoo, but remote work is possible.

You may be a recent graduate or already have some work experience with simulation studies or supply chain development. You will be working in the Supply Chain Development team within SCM. This team is responsible for developing Neste’s planning and optimization tools, maintaining planning data and implementing reporting and analytics.

The work involves creating a discrete-event simulation model of a Neste Oyj tank farm, carrying out simulation studies based on stakeholder requirements, and reporting the results. The purpose of the study is to determine the required tank capacity and product group allocation for the tanks in a number of different scenarios. The simulation model should include, e.g., the effects of truck, rail, and vessel traffic with uncertain interarrival times, tank maintenance, and different production scenarios. The simulation models will be carried out using the Flexsim simulation environment (www.flexsim.com).

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Application DL: 15 Dec 2020 (all applications before this will be considered)
Start time: As soon as possible, but negotiable
Duration: 12 months

Do you want to use your skills in data science and modelling to help fight COVID-19 and future pandemics? Join our international team of scholars in mathematics, statistics, and complex systems as a research assistant. There is a possibility to write a MSc thesis as part of this project.

Your main task is to develop and maintain our data pipelines. You will gather new data sources related to human mobility and social contacts, develop automated procedures to aggregate such data, and maintain our public data repository. The project involves both public data sources (e.g. road traffic reports) and private and possibly sensitive data. In addition to working directly with data, you will participate in the modelling research together with various specialists.

The position is a part of a new Nordic research project with Aalto University, Stockholm University, and University of Oslo. The project will develop new methods for analysing and controlling the spread of COVID-19 based on novel data streams and advanced statistical models related to human mobility and social contacts. The project is funded by the NordForsk organisation under the Nordic Council of Ministers. In Aalto, the project is coordinated by Lasse Leskelä, Tapio Ala-Nissilä, and Mikko Kivelä.

We are looking for:
– Solid study record in statistics, biostatistics, machine learning, mathematics, network science, operations research, or a related field
– Programming skills (minimum Python/R, C++ can be an advantage)
– Basic computer skills: Git, Unix, LaTeX, etc.
– Experience and enthusiasm with working with data
– Fluent oral and written communication skills in English. Communication skills in Finnish and Swedish can be considered an advantage
– High motivation to combine relevant elements from computational/mathematical/statistical disciplines to answer public health questions
– Teamwork experience and excellent communication skills
– Ability to work independently and efficiently

Send us your cv and study record before 15 Dec 2020 by email to mikko.kivela@aalto.fi For more information, see https://nordicmathcovid.cs.aalto.fi

Please note, the deadline is April 15th, 2020!

Project description 
Sweden aims to transition to carbon neutrality by 2045 by relying on a 100 % renewable power system. Such a system will include more variable renewable energy sources, such as solar and wind power, and will function differently than the present one due to intermittency. In particular, flexible producers, e.g., hydropower plants, and the transmission network will become more important in balancing the system. This enhanced leverage for flexible producers increases their potential for market power and thwarts society’s objectives.

This project will develop game-theoretic models adapted to the Nordic power system both to identify such conflicts and to propose proactive mechanisms to mitigate their welfare losses. The ideal candidate should have a background in a quantitative subject, e.g., economics, operations research, or systems analysis, with programming and data-handling experience. Knowledge of electricity markets, energy policy, and environmental issues is also desirable.

Full announcement

Ilmatieteen laitoksen Sään ja ilmastonmuutoksen vaikutustutkimus -yksikkö hakee ryhmäpäällikköä Ilmastonmuutos ja yhteiskunta -ryhmään 1.5.2020 alkaen, organisaatiokauden 31.12.2021 loppuun asti.

Katso hakuilmoitus.

Are you a recent or upcoming Master’s graduate who is passionate about  analytics, willing to work with data and eager to apply decision analysis for driving an environmentally sustainable future?

We are now looking for a Doctoral Student in Management Science for a 3-year funded position.

The position is located in the Department of Information and Service Management. The research at the department is broadly divided into three disciplines: management science, information systems science, and logistics, with topics such as digital service development, service networks, behavioral decision making, and data science. The current research topics of the Management Science group include but are not limited to portfolio decision analysis, multi-objective and stochastic optimization, behavioral decision theory, machine learning and productivity analysis.

Further information…

Diplomityö tai tutkimustyö osana tohtoriopintoja

Ala: Teknologiateollisuuden tuotantotekniikka
Aihe: Tuotantolinjan työjärjestyksen optimointi

Teettäjä: Aalto-yliopisto, Konetekniikan laitos
Työntekopaikka: Aalto-yliopisto ja osittain Ponsse Oyj Vieremällä
Työn kuvaus: Työssä laaditaan kokonaislukuoptimointimalli tuotantolinjan työjärjestyksen optimoimiseksi. Mallin käyttökelpoisuutta testataan systemaattisesti ja case-datalla. Tarpeen mukaan ohjelmoidaan myös yksinkertainen heuristinen ratkaisumenetelmä.

Työ alkaa: Sopimuksen mukaan.
Työn kesto: 6-7 kk
Palkkaus: Aallon palkkaussopimuksen mukainen
Hakuaika päättyy: Kun paikka on täytetty
Työn valvoja: Prof. Esko Niemi, esko.niemi@aalto.fi,  p. 040 503 1384
Lisätietoa: Valvoja

Climate University is a nationwide interdisciplinary project, which organizes workshops and provides courses using online learning material on various aspects related to climate change and sustainability. The course offering of the Climate University is extended next summer by introducing the course “Systemschange.now – systems thinking in managing climate change”.

This course will consist of three parts. The first part provides an introduction to systems the- ory, systems thinking, mathematical modeling (of systems) and tools needed for example to simulate the behavior of dynamic systems.

We are looking for 1-2 employees to join our team in developing teaching material for this first part of the course. The positions are for fixed term of 4-8 months and can be either full-time or part-time, depending on the combination of hired people and their competences and interests. The applicants should be able to start working in early January 2020.

Further information…