Job
- Level
- Junior
- Job Field
- Data, Embedded
- Employment Type
- Part Time
- Contract Type
- Internship / school internship
- Salary
- from 603 € Gross/Month
- Location
- Working Model
- Onsite
Job Summary
In this project, you will develop mixed-integer optimization algorithms for temperature control of steel strips, conducting simulations and evaluating the performance of your solution approach using Matlab.
Job Technologies
Your role in the team
- Literature review: A comprehensive review of known solution methods and available solvers for such problems shall be conducted.
- Solution algorithms: Incorporating an existing state-space model of the considered processing line, an optimal control problem involving continuous and discrete control inputs shall be defined and an algorithm for its solution shall be chosen or developed.
- Based on reasonable performance metrics, the algorithm is to be evaluated.
- Use-case: The solution algorithm considered is to be practically tested.
- The test should involve closed-loop simulations of an MPC tracking control strategy for the strip temperature.
- The implementation may be realized using Matlab.
- You will be trained in scientific work, and you will have the opportunity to discuss your experiences with scientific interdisciplinary experts from the fields of mathematics, informatics, physics and control and mechanical engineering.
- In many industrial applications and control systems, decisions containing both continuous and nonlinear decision variables have to be made.
- This means that mixed-integer optimization problems must be solved.
- This work considers a processing line for continuous heat treatment of steel strips that operates in two modes: heating and cooling.
- Specifically, this work aims at formulating an optimal control problem for strip temperature tracking in the considered processing line and at developing, implementing, and assessing a numerical solution method.
- An efficient, real-time-capable solution to this problem forms the basis for the successful implementation of a model predictive strip temperature control (MPC).
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Our expectations of you
Qualifications
- Ongoing master's studies in the field of automation & control, technical mathematics, technical informatics or a comparable technical field.
- Excellent knowledge in the field of optimization.
- Excellent knowledge of Matlab (and Python).
- Excellent technical understanding & analytical capabilities.
- Enjoyment of application-oriented questions of industry.
- High level of commitment and team spirit.
- Good knowledge of German and/or English in word and writing.
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Benefits
Health, Fitness & Fun
- 👨🏻🎓Mentor Program
- 🧠Mental Health Care
- 🚲Bicycle Parking Space
- ♿️No Physical Barriers
- 👩⚕️Company Doctor
- 🎳Team Events
Work-Life-Integration
- 🙅♂️No All-In Contracts
- 🏝Extra Holidays
- 🏠Home Office
- ⏰Flexible Working Hours
- 🚌Excellent Traffic Connections
Food & Drink
More net
Topics that you deal with on the job
This is your employer
AIT Austrian Institute of Technology GmbH
Wien, Klagenfurt, Graz, Hall In Tirol, Dornbirn, Seibersdorf, Steyr-Gleink, Wien, Braunau Am Inn - Ranshofen, Wien, Tulln
The AIT Austrian Institute of Technology is Austria's largest research institute and is considered a specialist in central infrastructure issues for the future, Europe-wide.
Description
- Company Size
- 250+ Employees
- Founding year
- 2007
- Language
- German, English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Science, Research
Dev Reviews
by devworkplaces.com
Total
(2 Reviews)3.8
Culture
4.2Engineering
4.0Career Growth
3.6Workingconditions
3.7
Master Thesis Mixed-Integer Optimization for Model Predictive Control Algorithms
- Salary
- from 603 € Gross/Month
- Location
- Working Model
- Onsite
- Diversity
- Open for all genders