Statistical design of experiments in industry

17 May 2024
Job Information

Organisation/Company

KU Leuven

Research Field

Mathematics

Researcher Profile

First Stage Researcher (R1)

Country

Belgium

Application Deadline

9 Jun 2024 - 00:00 (UTC)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

38 hours/week

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Reference Number

BAP-2024-309

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Efficient experimentation is key to rapid discovery and innovation in business and industry, as well as to product and process improvement. The field of experimental design, also referred to as Design of Experiments or DoE, provides the necessary tools to experiment efficiently. Traditional design of experiments textbooks distinguish between screening experiments and response surface experiments. The two-step approach to experimentation, in which a screening experiment is followed by a response surface experiment, has been successful for many decades. However, industries need to innovate at an ever increasing pace. The pressure to shorten the time to market is rising, and research and development has to be conducted more efficiently. One way to speed up the innovation phase despite the increasing complexity of modern products and processes is to combine factor screening and response surface experimentation in a single step. This requires new families of experimental plans, exploiting the technological advancements in modern laboratory equipment. Two attractive families of experimental plans are orthogonal minimally aliased response surface (OMARS) designs and orthogonal mixed-level (OML) designs. This project  focuses on combinatorial constructions of large OMARS designs and OML designs.

Requirements

Research Field

Engineering

Education Level

Master Degree or equivalent

Languages

ENGLISH

Level

Excellent

Research Field

Astronomy

Years of Research Experience

1 - 4

Additional Information
Benefits

We offer a Ph.D. scholarship, initially for one year. After positive evaluation, the scholarship will be extended for three more years.

Eligibility criteria

You hold a master degree (120 ECTS) in statistics, mathematics, physics, engineering, or a similar domain. Your master degree has been awarded by an institution of one of the countries of the EEA or Switzerland, or you have a NARIC certificate declaring the equivalence of your master degree. You have obtained this degree at most two years ago, and you have at most one year of research experience.
Your skills and interests include• statistical modelling• programming skills in, for instance, R and/or Python• fluency in English, spoken and written• autonomy, a sense of initiative and proactivity• knowledge of design of experiments is a plus

Selection process

For more information please contact Prof. dr. Peter Goos, tel.: +32 16 37 91 09, mail: [email protected] .
You can apply for this job no later than 09/06/2024 via the online application tool

Work Location(s)

Number of offers available

1

Company/Institute

KU Leuven

Country

Belgium

State/Province

Vlaams Brabant

City

Leuven

Postal Code

3000

Street

Leuven

Geofield

Where to apply

Website

https://easyapply.jobs/r/UklEmBU21Vs5FU2GiGZS

Contact

State/Province

Leuven

City

Vlaams Brabant

Street

Leuven

Postal Code

3000

E-Mail

[email protected]

STATUS: EXPIRED