Student assistant on intelligent heating machine, Embodied AI & Neurorobotics (ENS) Lab at SDU Mærsk Mc-Kinney Møller (MMMI) Institute

Student assistant on intelligent heating machine, Embodied AI & Neurorobotics (ENS) Lab at SDU Mærsk Mc-Kinney Møller (MMMI) Institute

The SDU ENS lab, the MMMI Institute at the Faculty of Engineering in Odense, seeks a student assistant. 
We are looking for a candidate to perform the project an industrial project “digitAl twIn for increasingG eneRgy-EfficiEncy of drying machiNes (AI4GREEN)”. 
Note that you are welcome to take this project as a bachelor or master graduation project. 

Tasks:

1. Using a MATLAB Simulink tool for simulating (computing) temperature and humidity in drying process, which can be optimized to reduce energy consumption in a simulated washing disinfector
2. Validating it with a real washing disinfector from the company Ken Hygiene Systems
3. Result dissemination (report and publication)

You should:

1. Master MATLAB Simulink
2. Have proficiency in sensory data processing and machine learning methods
3. Study in a relevant field, e.g. Physics, Data Engineering, Robotics, or AI
4. Have adequate communication skills in English speaking and writing
5. Work independently and as part of a team 
6. Be self-motivated, e.g., have a curious learning mentality
7. Have a strong sense of responsibility
8. Be enrolled as a student at SDU (Odense)

The preferred starting date is August 16th 2024, or after agreement. The position is for 10 months with the possibility for extension. 
We expect approx. 10-12 hours per week. 
We understand the balance between job and your study, therefore working hours are flexible. 

Application deadline is August 1st 2024.

Please note, the selected candidate as Student Assistant or Academic Supervisor must be enrolled as student at SDU.

Employment shall take place in accordance with the framework agreement between the Ministry of Finance and PROSA. 
 

Application must include cover letter, CV and transcript of grades. All documents in connection with the application should not contain CPR number (civil registration number) – in that case, the CPR number must be crossed out.

All attached files must be in Adobe PDF format. Cover letter and CV can contain max. 5 Mb.
 

We recommend that you read how to apply before you apply.
 

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

Please write in your application, that you have seen the job offer at Jobfinder