DAI Brussels SRL

SNKE – Rehabilitation Expert

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Last update: May 13, 2022 Last update: May 13, 2022

Details

Deadline: May 25, 2022 Deadline for applications has passed
Location: Turkey
Organization: DAI Brussels SRL
Sectors:
Job type:Contract, 4 to 12 months
Languages:
English, TurkishEnglish, Turkish
Work experience: Min 10 years
Date posted:May 13, 2022
Expected starting date:Jun 1, 2022

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Description

Project title: Technical Assistance for Strengthening Training and Research Capacity of the Centre for Labour and Social Training and Research (ÇASGEM)

Brief description of the project: The purpose of this three-year EU Technical Assistance Project for “Strengthening Training and Research Capacity of the Centre for Labour and Social Training and Research (ÇASGEM)” is to strengthen the institutional capacities of ÇASGEM, relevant stakeholders, social partners and NGOs through adapting training modules in occupational rehabilitation; delivering trainings for trainers; designing virtual training scenarios; carrying out awareness-raising activities; conducting researches; and organizing study visits, workshops and seminars in the field of occupational health and safety, especially in construction, mining, chemical and metal sectors.

Intervention 9: Research on Return-to-Work Programme (RTW)

Position: SNKE – Rehabilitation Expert

Resources: 5 Working Days

Working Period: Jun 2022 – Oct 2022

Tasks:

  • Participating in the technical meetings and in the working group meetings to discuss the plans and progress.
  • Reading and assessing of programming models and/or algorithms.

Required Qualifications:

  • At least 10 years of professional experience.
  • Post graduate degree in Statistics, Computer Science or related fields.
  • Experience in comparing statistics from Eurostat and other international databases on the labour or social security issues.
  • At least 5 years of experience in a project, research or scientific study related to the use of social security/labour data (especially in the data mining processes).

Following Qualifications would be an advantage:

  • Higher university degree in Statistics, Computer Science or related fields.
  • Research experience in occupational rehabilitation, and indicators in RTW studies.
  • Familiarity to assess statistical models or algorithms written in Python programming language.