Assistant Professor, Artificial Intelligence for Space Structures

JOB DESCRIPTION
The field of creating more environmentally friendly solutions to aerospace is clamouring for innovation. First-time-right manufacturing of aerospace structures is central in the fast implementation of new innovations. Designing and manufacturing for long-term durability is also critical. These elements are especially essential for space structures. But manufacturing a reliable structure in an innovative manner is not enough—first-time certification needs to be realised as well. Artificial intelligence (AI) could bring solutions to these areas. For this to be successful, two challenges need to be addressed: the lack of available data, and how to trust manufacturing and certification if there is hardly any statistical data. Therefore, an approach containing AI methods needs to be developed—specifically, an approach that uses the methods that can function with a small data set. This combination of classical aerospace and artificial intelligence has created new and exciting field: Artificial Intelligence for Manufacturing Space Structures.

In this Assistant Professor position, you will focus on developing an AI practice where ML algorithms will be the epicentre to train small data set and create knowledge bridges for problems in manufacturing and certification. The AI should consider the employment of robotic technologies. Potential areas of focus can be manufacturing of deployable structures, additive manufacturing in space where the manufacturing is done by a suite of robots. The challenges associated here will be data harvesting, data fusion and multi-disciplinary engineering as well as develop a clear box approach for certification. You will be expected to identify and develop pertinent and opportune ML techniques in relation to understanding, modeling and controlling manufacturing of certified space structures. Experience with aerospace structures is desirable, with space structures preferred. More specifically,

REQUIREMENTS
The Candidate should hold a Ph.D. degree in the field of mechanical/aerospace engineering or computer science with strong background in probabilistic analysis and statistics. Research experience either in the field of manufacturing of light-weight structures or the field of certification, with a good publication record in the field of machine learning, is expected.

CONDITIONS OF EMPLOYMENT
Fixed-term
contract: 6 jaar.

A tenure-track position is offered for six years. In the fifth year we’ll decide if you will be offered a permanent faculty position, based on performance indicators agreed upon at the start of the appointment. We expect that you have the potential to grow towards an Associate Professor and/or Full Professor role in the future.

Inspiring, excellent education is our central aim. We expect you to obtain a University Teaching Qualification (UTQ) within three years if you have less than five years of teaching experience. This is provided by the TU Delft UTQ programme.
TU Delft sets high standards for the English competency of the teaching staff. The TU Delft offers training to improve English competency. If you do not speak Dutch, we offer courses to learn the Dutch language within three years.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. The TU Delft offers a customisable compensation package, a discount on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged.

For international applicants we offer the Coming to Delft Service and Partner Career Advice to assist you with your relocation. An International Children's Centre offers childcare and there is an international primary school.

EMPLOYER
Delft University of Technology

Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context. At TU Delft we embrace diversity and aim to be as inclusive as possible (see our Code of Conduct). Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale.

Challenge. Change. Impact!

DEPARTMENT
Faculty Aerospace Engineering

The Faculty of Aerospace Engineering at Delft University of Technology is one of the world’s most highly ranked (and most comprehensive) research, education and innovation communities devoted entirely to aerospace engineering. More than 200 science staff, around 250 PhD candidates and over 2,700 BSc and MSc students apply aerospace engineering disciplines to address the global societal challenges that threaten us today, climate change without doubt being the most important. Our focal subjects: sustainable aerospace, big data and artificial intelligence, bio-inspired engineering and smart instruments and systems. Working at the faculty means working together. With partners in other faculties, knowledge institutes, governments and industry, both aerospace and non-aerospace. Working in field labs and innovation hubs on our university campus and beyond.

Click here to go to the website of the Faculty of Aerospace Engineering.

ADDITIONAL INFORMATION
For more information about this vacancy please contact Prof. Rinze Benedictus (R.Benedictus@tudelft.nl).

For information about the selection procedure please contact Management Assistant Ms. Gemma van der Windt (G.J.M.vanderWindt@tudelft.nl)


Företag

TU Delft

Platser

Kategorier

Sista ansökningsdag

2021-03-01


Sök tjänsten

Maila annonsen till mig


Arbetsgivarens övriga annonser

PhD position Digital twin for large-scale fermentation

TU Delft
Holland (Nederländerna) Publicerad: 2021-02-23

PhD position on wind turbine aeroelasticity

TU Delft
Holland (Nederländerna) Publicerad: 2021-02-12

PhD Position Emergent Behavior and Responsibility in Mixed-traffic Interactions

TU Delft
Holland (Nederländerna) Publicerad: 2021-02-25

PhD position: Reinforcement learning for self-driving lab concepts

TU Delft
Holland (Nederländerna) Publicerad: 2021-02-23

PhD position: Machine Learning for iterative metabolic engineering

TU Delft
Holland (Nederländerna) Publicerad: 2021-02-23

Ph.D. Position in AI/ML-based Mobile Cognitive Context Sensing Systems

TU Delft
Holland (Nederländerna) Publicerad: 2021-02-17

PhD Positions in Human-AI Collaboration for Design at Scale (D@S)

TU Delft
Holland (Nederländerna) Publicerad: 2021-02-25

Postdoc Arsenic-Iron Interactions Towards Removal from Groundwater for Drinking

TU Delft
Holland (Nederländerna) Publicerad: 2021-02-12


Företag

TU Delft

Platser

Kategorier

Sista ansökningsdag

2021-03-01


Sök tjänsten

Maila annonsen till mig