卢森堡科学与技术研究所2023年招聘博士后职位（数据分析、机器学习、计算机建模方向）

I-2411 POSTDOC ON ROAD CHARACTERIZATION FOR BEYOND TIRES SERVICES

Luxembourg Institute of Science & Technology

I-2411 POSTDOC ON ROAD CHARACTERIZATION FOR BEYOND TIRES SERVICES Two years contract Belval Are you passionate about research? So are we! Come and join us

The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities in their decisions and businesses in their strategies.

Do you want to know more about LIST ? check our website: https: // www. list.lu/

Discover our IT for Innovation Services department: https: // www. list.lu/en/informatics/

How will you contribute?

Do you have proven skills in data analysis, machine learning, as well as in mathematical and computational modelling?

You will have the opportunity to investigate innovative solutions for data analysis and definition of prediction models in the context of a collaborative project with Goodyear Luxembourg (one of our national industrial partners). You will work on LIST but also at Goodyear's premises.

Road characterization is an essential part of mobility which influences all facets of driving and tire performances. That is why it is becoming a demanding strategic research area that significantly impacts the tire development industry. The prediction of the road conditions is linked to several external variables related to, road surface properties, tire properties, driving speed, and behaviours of road users. This project aims at studying different data sources such as sensor data, high-speed wheel encoders, vehicle data, accelerometer data, and acoustics data.

Your specific activities will include (but are not limited to):

· Identify the main challenges and existing solutions for analysis and categorization of data coming from different sources including for example hardware sensors providing tire information, real-time data sources and social media data.

· Apply techniques to validate and perform consistency checks on a dataset created from real data provided by our industrial partner.

· Develop novel technological solutions for the definition of reliable prediction models that are effective in approximating the behaviour of the complex systems defined by the dataset.

· Implement and validate the predictions models considering robustness and accuracy, applying them in real use cases.

· Disseminate the project results through project reports and deliverables, scientific publications in journals and conferences and presentations at industry events.

Is Your profile described below? Are you our future colleague? Apply

now!

Education:

· PhD degree on Computer Science and Engineering, Telecommunication Engineering, Applied Mathematics or Statistics with application or specialization in Data Science.

Required experience and skills:

· Experience in data analysis methods, tools and platforms.

· Proficiency in designing research studies, formulating research questions, and selecting appropriate methodologies for data collection and analysis. Understanding of experimental design, control variables, and data validity.

· Experience in building machine learning models.

· Experience with Python and its numerical libraries.

· Experience in using database systems (relational, data warehouse and data lake).

· Sound publication track record in relevant international conferences and journals.

· Ability to present research findings in a clear and concise manner through reports, presentations, and scientific papers.

· Experience of working in applied research projects preferably with industrial partners.

· Ability to work in teams geographically located in different partner's facilities.

· Strong interpersonal and communication skills to collaborate effectively with cross-functional teams, stakeholders, and industry experts.

· Good written and verbal communication skills in English is mandatory.

Nice to have experience:

· Road condition research knowledge and experience in the field of road condition research, including an understanding of road surface characteristics, friction coefficient, road texture, roughness, and related parameters. Familiarity with relevant research methodologies and techniques.

· Familiarity with data collection methods and sensors used to gather data on vehicles. Understanding of sensor technologies and their limitations.

· Experience in managing research projects, including planning, organizing, and coordinating research activities within specified timelines. Ability to prioritize tasks, set milestones, and monitor progress.

· Willingness to stay updated with the latest advancements in research, tire technology, data analysis techniques, and industry trends.

Your LIST benefits

· An organization with a passion for impact and strong RDI partnerships in Luxembourg and Europe that works on responsible and independent research projects

· Sustainable by design, empowering our belief that we play an essential role in paving the way to a green society

· Innovative infrastructures and exceptional labs occupying more than 5,000 square metres, including innovations in all that we do

· An environment encouraging curiosity, innovation and entrepreneurship in all areas

· Personalized learning programme to foster our staff's soft and technical skills

· Multicultural and international work environment with more than 50 nationalities represented in our workforce

· Diverse and inclusive work environment empowering our people to fulfil their personal and professional ambitions

· Gender-friendly environment with multiple actions to attract, develop and retain women in science

· 32 days' paid annual leave, 11 public holidays, 13-month salary, statutory health insurance

· Flexible working hours, home working policy and access to lunch vouchers

Apply online

Your application must include:

· A motivation letter oriented towards the position and detailing your experience

· A scientific CV with contact details

· List of publications (and patents, if applicable)

· Contact details of 2 references

Application procedure and conditions:

· LIST is an equal opportunity employer and is committed to hiring and retaining diverse personnel. We value all applicants and will consider all competent candidates for employment without regard to national origin, race, colour, gender, sexual orientation, gender identity, marital status, religion, age or disability

· Applications will be reviewed on an ongoing basis until the position is filled

· An assessment committee will review the applications and select candidates based on guidelines that aim to ensure equal opportunities

· The main criteria for selection will be the correspondence of the existing skills and expertise of the applicant with the requirements mentioned above.

Please note that by applying you consent to share your application with Mrs Veronique Martin-Lang, Chief Engineer Data Science and Analytics, and Mrs Eman Ahmed, Data Scientist, both from Goodyear Luxembourg.

Candidates shall be available for starting their position in January 2024.

REQUIREDLANGUAGES

To be considered for this position it is crucial that you have knowledge of the following languages

Read C1 Advanced

Write C1 Advanced

Speak C1 Advanced

minimum required Education

Required work experience in years

0 or more years

Job Category

Details

Employment type

Contract type

Hours per week

40

Contract period

Years

Contract duration

2

Location

Country

City

Esch-Sur-Alzette

Recruiter in charge

Alexandre BAUDET

Employment type

Full-Time

UO

ITIS

Profile type

Researcher

更多最新博士后招收信息请关注博士后招聘网微信公众号（ID：boshihoujob）

祝君：学业有成、学成归来

请您在邮件申请时在标题注明信息来自：博士后招聘网-boshihoujob.com，电话咨询时说明从博士后招聘网(www.boshihoujob.com)看到的博士后招聘信息。

声明：凡本网注明“来源：XXX”的文/图等稿件，本网转载出于传递更多信息及方便产业探讨之目的，并不意味着本站赞同其观点或证实其内容的真实性，文章内容仅供参考。如其他媒体、网站或个人从本网站转载使用，须保留本网站注明的“来源”，并自负版权等法律责任。作者如果不希望被转载或者联系转载等事宜，请与我们联系。邮箱：boshihoujob@163.com。