Research Engineer – Development of Wireless Sensor Network for Electric Vehicle BMS Monitoring (ref.05.23.30)

Organisation/Company

INL

Department

Human Resources

Research Field

Engineering » Electrical engineering
Engineering » Electronic engineering

Researcher Profile

Recognised Researcher (R2)

Country

Portugal

Application Deadline

16 Jun 2023 - 23:00 (Europe/Lisbon)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

40

Offer Starting Date

17 Jul 2023

Is the job funded through the EU Research Framework Programme?

H2020

Reference Number

101097267

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

No

Research Engineer – Development of Wireless Sensor Network for Electric Vehicle BMS Monitoring

Job Reference: Ref.05.23.30

Employer: International Iberian Nanotechnology Laboratory (INL)

Location: Braga, Portugal

Group/Unit: Systems Engineering

Number of Vacancies: 1

Employment Type: Full time

Contract Duration: 6 months

Open Date for Applications: May 26th, 2023

Closing Date for Applications: June 16th, 2023, 23h00m (Lisbon Time)

Key words: #embededhardware #datascience #hardwaredesign

Overview

The Systems Engineering Group is dedicated to bring advanced Nanoeletronics, into mainstream applications within the semiconductor, biomedical, agrifood, industrial, and industrial markets.

Are you a Research Engineer with knowledge in the development of hardware and software solutions?

INL is seeking a Research Engineer with knowledge in hardware and software solutions, to develop, test and integrate the data processing and analysis system using ML/AI frameworks to generate predictive and classification models, for a wireless sensor network for Electric Vehicle BMS to monitor the battery’s health.

The selected candidate will be working with a multidisciplinary group under the OPtimization of Electric Vehicle Autonomy (OPEVA) Project, that aims for innovation on aggregating information from the vehicle to create a model of performance and consumption specific to the individual vehicle and its driver, optimizing the individual driving episode using the out-vehicle data, such as state of the road, weather, etc. This project is funded by “HORIZON-JU-RIA”, with the code 101097267.

Job Duties

The job duties will be the following:

1.     Development of an advanced wireless sensor network for Electric Vehicle BMS monitoring with current and electrochemical sensors for battery health monitoring;

2.     Development of hardware and software (firmware and application software);

3.     Testing and integration with the date processing and analysis system using ML/AI frameworks.

Mandatory Qualifications

Education

• MsC Degree in Electrical, Electronics or Physics Engineering

Experience

• Experience in Embedded Hardware development including Edge ML/AI frameworks;
• Past experience in working with international and cross-functional teams.

Technical Skills

• Use of current and electrochemical sensors and test setups, including test jigs, computer interfacing and data acquisition (preferably in Python);
• Knowledgeable in data science including data extraction from sensors, large datasets analysis and development of data analysis pipelines;
• Knowledgeable with ML tools to develop prediction and classification models.

Preferred Qualifications

• Experience in Hardware design (Mixed-signal PCB design and Spice simulations);
• Experience in circuit design.

Personal Skills

• “Hands-on” approach together with a high commitment in respecting working deadlines;
• Problem Solving ability;
• Customer orientation;
• Ability to work independently and as team player;
• Good communication skills.

Our Benefits

• Competitive salary;
• Tax benefits and other Diplomatic privileges;
• Private health insurance;
• Family allowances (according to family situation);
• Free nursery service at INL premises (subject to availability);
• Support for education fees of dependent children;
• Relocation support;
• 30 working days of annual leave.

How to Apply

The application must be in English and include the following mandatory documents:

a)     Cover letter;

b)     Curriculum Vitae;

c)      Academic and/or Professional diplomas;

Online application instructions:

Important note:

Incomplete applications including the failure to provide mandatory documents or providing inaccurate information will result in the application not being considered.

How the Selection Process works
 

A. Applications eligibility check

This stage will be carried out on the basis of the mandatory requirements, education, experience and technical skills defined for the job, as well as the validation of the mandatory documents. Only candidates who meet the eligibility criteria will move forward to the next stage.

B. CV Assessment

The Selection Committee will evaluate the eligible applications based on their CV and other submitted documents and the suitability for the position. The best ranked candidates will be shortlisted for the interview stage(s).

C. Interview(s)

The interview(s) may be done in different formats: video recording, online or onsite.

The question based interview will evaluate the match between the candidate’s profile and the requirements for the position, including the technical and personal skills. To better support this stage, the candidate may be requested to prepare a short presentation.

D. Nomination

The selected candidate will be nominated and formally offered the position, including the disclosure of the contractual conditions. 

Additional Information

Application feedback

We highly value your interest in becoming part of the INL experience and it is important for us to maintain good communications with all candidates. No matter the outcome of your application, we will always provide you with feedback.

Equal Opportunity and Non-Discrimination Principle

INL follows a non-discrimination and equal access principle, wherefore no candidate can be privileged, benefited, impaired or deprived of any rights whatsoever, or be exempt of and duties based on any possible discriminatory issues.

The advertisement deadline may be extended at any time without previous notice in order to improve the suitability and effectiveness of the recruitment process.

About INL

The International Iberian Nanotechnology Laboratory – INL (http://www.inl.int ), is the first and only Intergovernmental Organisation in the world entirely focused on Nanoscience and Nanotechnology.

It was founded under an international legal framework to perform interdisciplinary research, deploy and communicate nanotechnology for the benefit of society. INL aims to be a recognised leading global nanotechnology innovation hub.

Research Field

Engineering

Education Level

Master Degree or equivalent

Languages

ENGLISH

Level

Excellent

Number of offers available

1

Company/Institute

INL - International Iberian Nanotechnology Laboratory

Country

Portugal

City

Braga

Geofield

Website

https://app.jobvite.com/j?cj=oNvnnfwM&s=Euraxess

City

Braga

Website

http://inl.int

Street

Av. Mestre José Veiga, S/N

Postal Code

4715-330