Senior Researcher Position

We are seeking to recruit a Senior Researcher (equivalent of postdoctoral researcher) to join SFI Funded “Deep Learning based Transferrable Supply Chain Stress Test” project (https://sites.google.com/view/supply-chain-resilience/home). The project is focused on developing simulation, optimisation, and machine learning methods for evaluating and enhancing supply chain resiliency. 

Closing date for receipt of completed applications is 1pm on Monday 11th September 2023.

Location

The role will be based primarily in the MeSSO Research Group at Munster Technological University (Cork-Ireland).

Duties and responsibilities

• To conduct research at MTU to meet the objectives of the project

• To research relevant literature and keep abreast of recent advances in the field

•  To report and present findings on a regular basis to the research team and research partners for review purposes.

• To prepare reports, publications, and conference proceedings as appropriate

• To contribute to research assistant and postgraduate supervision and training as required

 Key Skills and Experience Requirement

Essential Criteria:

• Capability of working effectively within a team to achieve results and evidence of excellent organisational and communication/presentation skills. 

• Proficient in documentation, presentation, and project management software.

• Keen desire to be innovative and help identify new strategies/techniques to achieve goals. The successful candidate will have the ability to apply their expertise to solve complex problems using the data generated from the project.

• Relevant research experience in the area of supply chain analytics, simulation, optimization, and machine learning (academia or industry)

•  PhD in computer science, industrial engineering, or relevant discipline

• Experience in implementing optimisation models and algorithms (e.g. mixed integer programming, metaheuristic)

• Experience in at least one of the commercial simulation software such as anyLogistix, AnyLogic, Witness, Rockwell Arena, Simio, FlexSim and knowledge about open source simulation packages (e.g., SimPy, salabim, Desmo-J)

• Experience working with commercial and open-source solvers (e.g., CPLEX, Guropi, Google-OR Tools, CBC, GLPK )

• Experience with essential analytics & machine learning libraries such as  NumPy, Matplotlib, Pandas, Scikit-learn, TensorFlow and Keras

•  Proficiency in Python and/or Java programming languages.

Desirable Criteria:

• Experience in engineering report writing and publishing research outcomes

• Knowledge in logistics and supply chain domain

Qualifications Requirements for role

• Ideally the post will require a researcher who holds a PhD (Level 10) or is close to completion of their PhD in computer science, industrial engineering, or a relevant discipline.

• Alternatively, significant relevant industrial experience (a minimum of 3 years relevant experience) will be considered in lieu of postgraduate qualifications, in which case a Masters degree in a related area; simulation, optimisation or machine learning would be an advantage.

Terms of the Appointment

 Duration

The position is for a 12-month fixed term whole time contract up to November 30th, 2024. The candidate would be expected to start as soon as possible after receiving an offer.

Salary Range

Remuneration will be on the Senior Researcher Salary Scale,(€46,785 -  €54,868) per annum in line with experience.

Annual Leave

27 days per annum.

The Interview Process

If invited to interview, applicants will be assessed at the interview under the following criteria (but not limited to):

• Academic record (such as publications and conference proceedings)

•  Qualifications

•  Relevant research experience (academic and commercial)

• Knowledge of application area

• Ability to organise research projects

•  Communication skills (written and oral)

NOTE:

In addition to the minimum qualifications, it may be necessary to introduce further shortlisting criteria, therefore, applicants may be shortlisted on the basis of qualifications and suitable experience, based on details given in the application form.

Applicants should note that they may be called for more than one interview.

Application Process

Applications by MTU eRecruitment systems only. Applications will not be accepted in any

other format. Application process is explained step by step below:

Step 1: Please log on to www.mtu.ie/vacancies