Master Student Computer Science, Engineering, Robotics or Natural Science (f/m/x) - Further development of deep learning models

Location

Spanien | Germany

Job description

Bookmark

Course paper / final thesis

Further development of deep learning models for detection tasks in aerial images of heliostat fields

Solar tower test facility CESA-1 at the Plataforma Solar de Almería (owned and operated by CIEMAT), Photo DLR

Starting date

1 April 2024

Duration of contract

6 months

Remuneration

ERASMUS grant possible + allowance

Type of employment

Full-time

Start your career with an interesting master thesis at DLR Solar Research Institute, one of the world’s leading institutions in the field of concentrated solar technology! 

Solar tower power plants consist of several hundred to several thousand mirrors, so-called heliostats, which focus solar radiation upon a collector tower. An important step in the qualification of solar tower power plants is the monitoring of the heliostats. Operationally relevant parameters include their alignment and the condition of the mirror panels. To reduce the cost of qualification and automate the monitoring, unmanned aerial vehicles (UAVs) are increasingly being used. These capture aerial images, which are then evaluated by image-processing algorithms. Although conventional image-processing methods already achieve good results, they often still require manual intervention. For this reason, the use of deep learning methods is currently being investigated at our institute.

As part of your thesis, you will support us in further developing our deep learning models for detection tasks in aerial images of heliostat fields. The exact tasks are determined according to the requirements of the university and the applicant's previous knowledge. Possible topics could be model ablation studies, class-agnostic models and object tracking.  You will be part of the AuSeSol-AI project and will be closely integrated into our diverse and highly motivated team in the “Qualification group” located in Almería, Spain. An experienced colleague will closely work together with you and support you throughout the entire thesis.

• You are looking for a final thesis project of a technical master program in the field of computer science, engineering, natural science or similar.
• You convince us with above-average study results. You bring interest in deep learning and programming in Python. Experience in computer vision is beneficial.
• You are used to work in a structured and independent way and continuous improvement drives you.
• Good English language skills in speaking and writing are necessary for studying scientific literature and communication to institute members.
• German and/or Spanish language skills are beneficial (not required).

Look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development. Our unique infrastructure offers you a working environment in which you have unparalleled scope to develop your creative ideas and accomplish your professional objectives. Our human resources policy places great value on a healthy family and work-life-balance as well as equal opportunities for persons of all genders (f/m/x). Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.

Job tags

Salary