VITO is a leading research center in Flanders (Belgium) in the field of technology development for sustainable processes. The Unit of Separation and Conversion Technology (SCT), has a strong focus on bio- or CO2-based routes. VITO’s biotechnology team has a long-standing and unique expertise in gas fermentations, and in design, operation and optimization of enzymatic and whole cell bioconversion processes, tested either in stand-alone mode or coupled to membrane technology. The team consists of permanent researchers, engineers, technicians, PhD and postdoctoral students and wishes to expand with an extra postdoctoral researcher. More information available on www.vito.be or https://vito.be/en/theme/sustainable-chemistry.
Equal opportunity position
Job Description:
You will be working on multidisciplinary projects aiming at developing, optimizing and intensifying biotechnological processes (both whole cell and enzymatic conversions)
You will perform lab work as well as design and set up experiments and analyze data
You will handle several projects running in parallel
You are eager to run complex lab installations and long-term challenging biotech experiments
You will work independently towards the project goal, take responsibility for high quality results and reporting
You will work in an international team and context
MSCA-ETN SULTAN ESR7: Advanced leaching of Cu-Zn, Zn-Pb and Cu-Zn-Pb tailings using microwave heating.
Mol
PhD
Description:
PhD position (“Early Stage Researcher”) to be funded by the Marie-Sklodowska-Curie Innovative Training Network “SULTAN – European Training Network for the Remediation and Reprocessing of Sulfidic Mining Waste Sites” within the Horizon 2020 Programme of the European Commission. (www.etn-sultan.eu)
Applicants need to fully respect three eligibility criteria (to demonstrated in the Europass cv):
Early-stage researchers (ESR) are those who are, at the time of recruitment by the host, in the first four years (full-time equivalent) of their research careers. This is measured from the date when they obtained the degree which formally entitles them to embark on a doctorate, either in the country in which the degree was obtained or in the country in which the research training is provided, irrespective of whether or not a doctorate was envisaged.
Conditions of international mobility of researchers:
Researchers are required to undertake trans-national mobility (i.e. move from one country to another) when taking up the appointment. At the time of selection by the host organisation, researchers must not have resided or carried out their main activity (work, studies, etc.) in the country of their host organisation for more than 12 months in the 3 years immediately prior to their recruitment. Short stays, such as holidays, are not taken into account.
English language: Network fellows (ESRs) must demonstrate that their ability to understand and express themselves in both written and spoken English is sufficiently high for them to derive the full benefit from the network training.
ESR7: Advanced leaching of Cu-Zn, Zn-Pb and Cu-Zn-Pb tailings using microwave heating
Main supervisor: Dr. Jeroen Spooren (jeroen.spooren@vito.be)
University supervisor: Prof. Koen Binnemans (KU Leuven)
Objectives: To apply microwaves (MWs) to increase selectivity, efficiency and kinetics of hydro- and solvometallurgical leaching systems for tailings; to understand the interaction of MWs with the solid tailing material in order to enhance local crack formation; to determine the MW activation of water and its influence on the leaching system; to perform MW heating of solvents, including deep eutectic solvents, in order to enhance solvent based leaching systems.
Start of the PhD: asap Registration deadline: 25/08/2019
VITO is making full use of its research programme ‘Sustainable Materials Management’ in order to speed up the transition to a circular economy. We are convinced that, in addition to technological innovations, wider social innovations by policymakers and companies are also crucial for this transition. This is why we are developing frameworks and tools for public authorities and for the industry to ensure that the potential of the circular economy is further unlocked.
You work as part of a team on research projects that map out the underlying mechanisms of the circular economy. You convert knowledge gained into concrete tools and methods, for example regarding the innovation of business models.
Based on our own developments and insights, combined with state-of-the-art tools, you advise companies and authorities to identify and unlock their potential in the circular economy.
You are passionate about circular economy and have the expertise necessary to approach issues from a systemic perspective.
You are able to develop project proposals with an international consortium and act as project leader, for example in the context of Horizon 2020.
You expand your network further on an international level with a view to exploring new opportunities for VITO in the field of the circular economy. You also contribute to drawing up tenders for industrial clients and authorities.
You present and publish the project results on (inter)national forums and ensure that your fellow team members also gain knowledge regarding this theme.
The unit Separation- and Conversion Technology (SCT) in VITO develops technologies for the sustainability of production processes in the (bio)chemical sector, replacement of fossil resources by renewable resources as feedstock for the chemical industry, and the treatment of waste streams into high value chemicals.
The synthesis of (semi)aromatic polymers derived from renewable resources is currently attracting tremendous interest from both academia and industry, as aromatic compounds are key intermediates in the manufacture of polymers and chemicals.
VITO is co-initiator of Biorizon, an industry driven Shared Research Center, focusing on technology development for the production of functionalized biobased aromatics for performance materials, chemicals & coatings. As the leading institute, VITO coordinates the development of lignin derived bio-aromatics by its own technology and by collaboration with different technology providers. Lignin is the main source of aromatic bio-based molecules. Various phenols derivatives with a variety of chemical structures can be obtained from lignin deconstruction combined with advanced membrane separation techniques.
VITO has developed a strong expertise in the valorization of biomass through conversion of lignocellulose into value-added lignin fragments and bio-aromatic derivatives. More recently, VITO has also started to develop IP and to demonstrate how these new building blocks could be polymerized into value-added products. Depending on the bio-aromatic substrates obtained from the lignin separation processes, different chemical modifications and polymerization pathways are envisaged and developed, leading to (semi)aromatic polymers that could potentially cover a wide range of industrial applications.
We are looking to recruit one PhD graduate for a 2 years postdoctoral position to work in our lignin-derived polymers program. The work will focus on two aspects:
Synthesis of polymerizable synthons derived from lignin;
Design/characterization of lignin-derived biopolymers such as polyurethanes.
Location
Main location will be the Green Chemistry Campus in Bergen-op-Zoom, The Netherlands with regular trips to VITO’s headquarters in Mol, Belgium
R&D PROFESSIONAL GEOLOGY - GEOTHERMAL RESERVOIR ENGINEER
Mol
R&D & Engineering
Description:
As a researcher in the geology team of VITO, you contribute to development of a geothermal energy system in Flanders, Europe and beyond.
You take up a position as a reservoir engineer and are responsible for:
Operational follow up of the reservoir characteristics of the Balmatt geothermal power plant in Mol, Belgium: - Analysis and interpretation well test data - Design and setup of test programs, evolving towards an operational production program - Development and maintenance of a reservoir model, including history matching, to fully understand the dynamics of the subsurface reservoir
Provide support in well test interpretation, reservoir modelling and setup of test and production programs for geothermal power plants in Flanders and beyond.
Report model results, analysis and interpretations to customers, stakeholders and the scientific community.
Integrate your knowledge and expertise in collaborative projects with fellow researchers and partners.
Close cooperation with the interdisciplinary geothermal energy team at VITO.
DATA SCIENTIST ARTIFICIAL INTELLIGENCE FOR RECYCLING
Mol
R&D & Engineering
Description:
VITO has clear ambitions to further strengthen its research programme ‘Sustainable Materials Management’. We strive towards a more circular economy by developing zero-waste solutions to sustainably transform residues into resources and products.
To strengthen our research we are looking for a creative and motivated scientist or engineer to develop a VITO recycling technology based an artificial intelligence and sensor data.
As R&D professional you will be part of an experienced and well-equipped research team aiming to develop advanced sorting and recycling technologies.
The research will focus on the development of software and state-of-the-art algorithms in the field of sensor based sorting through image processing, object recognition and machine learning.
More specifically, you will develop object recognition models based on images from different types of sensors (x-ray, 3D and color).
In this development, the focus is on image pre-processing techniques such as image registration (alignment), image segmentation, image quality improvement and on deep learning models for classification.
An important aspect is to optimize the computational efficiency by making use of GPU-based algorithms.
You will integrate the models into a software framework that streamlines the process of data acquisition, model training and result visualization, which are applied to specific material streams (residues) from various industrial customers.
VITO believes that through artificial intelligence and data mining, novel technologies can be developed that allow a breakthrough in the waste processing and valorization industry. The algorithms will be applied to data generated by a novel multi-sensor line scanner device (so-called ‘Characterise-to-Sort’). The prototype available at VITO consists of a conveyer belt currently equipped with dual energy X-ray transmission, 3D laser triangulation and RGB sensors.
PHD POSITION REGULATORY INCENTIVES FOR COST-EFFICIENT TSOs IN A LIBERALIZED ELECTRICITY MARKET ENVIRONMENT
Genk
PhD
Description:
In the last decades, we witnessed how the liberalization of the electricity markets and the associated unbundling significantly changed the energy landscape. Instead of organizing the system as a vertically integrated utility, independent actors interact on the electricity markets, such as generation companies, transmission and distribution system operators, retailers, power exchanges, or balance responsible parties.
The transmission system operator (TSO) acts as a market facilitator and is in charge of power system reliability. In this regard, system operators have a number of tasks: from real-time balancing and congestion management, to infrastructure investments. Operating the transmission system is recognized as a natural monopoly. For this reason, TSOs are regulated, also in the framework of liberalized electricity markets. National Regulatory Authorities (NRAs) regulate and provide incentives to ensure TSOs can operate the market efficiently, and remain (financially) neutral. Nevertheless, there can be a gap between the anticipated effect of regulation posed on TSOs and the observed outcome.
The available cross-border transmission capacity after the implementation of the flow-based market coupling (FBMC) can be seen as an example of unforeseen consequences of new regulation. Initially the FBMC should have allowed higher cross-border exchanges and, consequently, higher social welfare in day-ahead electricity markets. However, soon after implementation, some TSO discretionary actions (e.g., adding new critical lines with very low “Remaining Available Margin RAM”) have limited trade and price convergence, and hence led to significant decreases in the gained social welfare [5], [6].
To this end, the goal of this PhD project is to study the consequences of the European and national regulatory framework on incentives for TSOs, and how those will evolve with the ongoing trends in electricity system and market design (e.g.,increased interconnection, higher shares of renewables and storages and active consumers). Additionally, the aim is to identify possibly conflicting or perverse incentives (from a single or different entities, e.g. NRA against European network of TSOs for electricity (ENTSO-e)). To limit the scope, the focus is on the operational tasks of the TSO (i.e., market coupling, congestion management and balancing; from reserve sizing to procurement and activation). Based on a state-of-the-art modeling framework, mimicking the day-to-day operations of a TSO and it’s interaction with the regulatory framework/regulator, case studies on specific topics are envisioned. These case studies may include, but are not limited to, market-based congestion management (vs. the current command-and-control framework) and cross-border TSO-TSO collaboration in reserve capacity sizing, procurement and activation.
PHD POSITION IN XOMICS DATA ANALYSES AND INTEGRATION IN PRECISION HEALTH
Mol
PhD
Description:
Our established healthcare system is no longer sustainable due to the aging population demographics and the transformation of many fatal disorders into chronic diseases. Preventive healthcare is rising to the challenge of providing early diagnosis and assistance to the risk group populations, effectively allowing individuals to live healthy instead of living with chronic diseases. Within the “I am Frontier” cohort, we are following 30 healthy participants on a monthly basis, which we use to generate different omics data sets including (but not limited to) genomics (Whole Genome Sequencing), epigenetics (Methylation), clinical biomarkers, microbiome, proteomics and metabolomics. Moreover, we collect information about physiological parameters (heart rate, sleep patterns …) and lifestyle (activity, food intake,stress, ...) via questionnaires and wearables. This data, used in combination with data from a range of disease, profiles allow us to calculate individual risk profiles for a range of diseases.
The aim of this bioinformatics project is to develop new approaches to data integration, analysis and visualization in high-dimensional cross -omics datasets. Beginning with genomics, epigenetics, proteomics, metabolomic and microbiome data generated on samples from the I am cohort, the Ph.D. candidate will develop methods to discover the relationships across these datasets, identify relevant patterns in the data and relate these to available public databases. Moreover, those data can also be correlated to a wide range of clinical parameters as well as data obtained using activity trackers.
We are looking for a highly motivated and scientifically excellent candidate in genomics/bioinformatics background with a problem-solving attitude to work in an international, collegial environment. Strong communication skills complemented with innovative and analytical thinking are important assets.
The Remote Sensing unit of VITO processes petabytes of earth observation data. We primarily specialize in Big Data analysis with the use of machine learning and deep learning techniques in the application workflows. That is our passion: the extraction of information from the vast amounts of incoming images. Information required by our clients. Our extensive group of clients can be found within the domains of land use, civil infrastructure, agriculture, forestry, water management, heritage and ecological development.
For our big data services development team, we are looking for a dynamic and highly motivated R&D Project Manager Remote Sensing Platforms. In this role, you are the driver in an ecosystem of earth observation and big data platforms and ensure project execution from proposal to final review meeting. Projects are situated in a context of Belgian space programs, the European Space Agency and the European Commission and have a close link to supporting the remote sensing application projects.
As a Project manager, you will work within a team of solution architects, software developers and operation engineers. Together with the team you translate user requirements in a system and service design. You will scan the market for opportunities to contribute to and execute the internal vision and roadmap on big data and processing platforms.
You'll become part of a talented, dedicated team working in a fast-paced, challenging international environment. We thrive to develop cutting edge technologies that will be used in applications and services by a broad public, industry, the public sector and universities.
Project management in its broad context: responsible for tasks, deliverables, risk assessment and mitigation, documentation within time and within budget. This in close cooperation with international partner companies and institutions and the customer
Project administration and reporting towards the customers and management
Representation of your project portfolio on international, mostly scientific conferences
Translation of project opportunities to actual proposals
Planning of necessary resources including subcontractors
Keep track of a strong user-oriented approach
Team coaching
Continuous improvement in the project and development processes
Stay on the leading edge of the evolving remote sensing and IT world
As a Tech Transfer & Venture Developer, you are responsible for the transfer of VITO technology to the industry, by creating spin-offs or by licensing or selling technology.
To that end, you look for suitable projects within VITO and promote the submission of Tech Transfer dossiers. You will then oversee these projects until a successful transfer takes place.
For this:
•You recognise promising ideas or projects and are able to motivate people to achieve a spin-off or Tech Transfer related to this.
•You look for the right people to launch a spin-off, both inside and outside VITO.
•You assist teams in the creation of their business plan and financial plan.
•You create and maintain relationships with investors with the aim of providing sufficient funding for our projects.
•You negotiate new licensing agreements.
•You help ensure the monitoring and reporting of existing spin-offs and licences.
•You work on 2 to 5 projects at the same time; three quarters of your projects are Flemish, the rest are international.
•You mainly work from our head office in Mol, with weekly trips to Genk and Antwerp.
The VITO Data Science Hub designs, develops, tests and valorises data-intensive algorithms to improve sustainability in the areas of Energy, Materials, Chemistry, Health and Land Use. It holds a horizontal structure and operates on corporate level. This hub focuses on:
Strategy development for data science on corporate level
Multidisciplinary data-intensive projects
Supporting and coaching staff in relation to machine learning and automated data analysis
Helping to develop reusable software and working to raise the TRL (technology readiness level)
THE ROLE
You focus on designing and developing reusable software in which data science takes a central role
You work together with 5 colleagues
You advise staff from various VITO departments regarding the use of data science techniques
You participate in educating, training and coaching staff within our various VITO units
You broaden your knowledge and expertise, and remain up-to-date regarding the new developments and the data science community
You publish research results (in collaboration with PhD students) and present at international fora
You play an active part in drawing up research proposals and acquiring new projects
You help to identify new IP opportunities and valorisation initiatives
PHD POSITION ALGORITHMIC GAME AND DISTRIBUTED LEARNING FOR PEER-TO-PEER ENERGY TRADING
Genk
PhD
Description:
The increasing amount of Distributed Energy Resources (DERs), which have recently been integrated in power systems, and the more proactive role of consumers have transformed the classical centralized power system operation by introducing more uncertainty and decentralization in the decisions. Following this trend, electricity markets are starting to restructure, from a centralized market design in which all the operations were managed by a central (global) market operator, modeled as a classical constrained optimization problem, to more decentralized designs involving local energy communities which can trade energy by the intermediate of the global market operator or in a peer-to-peer setting. This latter design requires the introduction of game-theoretical approaches to model the complex interactions between the agents and provide guidelines regarding decentralized system evolution.
The information (historics of the agents’ past actions, private information captured through types, etc.) that each agent can access is capital, as it impacts the agent’s strategy definition and the dynamic evolution of the underlying game. Various learning mechanisms can be implemented by the agents, in a distributed fashion (Bayesian inference, regret minimization, etc.). Questions on convergence of these distributed learning algorithms, as well as the capability for these algorithms to efficiently approximate equilibrium (Generalized Nash in case of shared resource, correlated equilibrium in case Nature is introduced) resulting from such complex underlying games, raise tricky questions.
In this PhD work we propose to:
• Develop and analyse a game-theoretic model for peer-to-peer energy trading where peers may have various level of information, the performance of which will be compared to centralized and hierarchical market designs. These latter will be used as benchmarks, and formulated using control-theoretic and Stackelberg game approaches in a context of sequential decision making. Endogenous risk impact on the market behavior will also be studied. To perform the comparison of the different market designs, performance indicators will be considered, reflecting various points of view on the system behavior (social welfare, efficiency loss relying on the Price of Anarchy, etc.)
• Provide methodological approaches for the design of a smart contract on top of a decentralized demand and supply matching platform, guaranteeing the automatic detection of a consensus reaching. Careful analysis of distributed trust-based communication mechanisms in a peer-to-peer market design setting should be provided.
• Analyse the robustness of the smart contract in case of malicious behavior of some agents, attacks or faults. The detection of these latter in a decentralized energy trading system will also be considered as a methodological approach.
Practicalities and organization: The PhD work will last 3.5 years, with a possible start in October 2019. The candidate is expected to prepare a workplan and to present it in front of a jury in Belgium, before the official start of the grant.
Contact: Please provide CV, motivation letter and two recommendation letters (by default, the names of two persons who could recommend you) to: • Dr Ana Busic (ana.busic@inria.fr) • Dr Hélène Le Cadre (helene.lecadre@vito.be)
The VITO Data Science Hub designs, develops, tests and valorises data-intensive algorithms to optimise sustainability in the fields of Energy, Materials, Chemistry, Health and Land Use. It’s a horizontal structure at corporate level. The hub focuses on: • Strategy formation of data science activities at corporate level • Multidisciplinary data-intensive projects • Support and coaching of employees with regard to data management, storage and access, high-performance computing, machine learning and data analysis • The co-development of reusable knowledge and software and increasing the TRL (technology readiness level) Obtaining and making available the right data in the right way is an ever more important aspect of our strategic research and project work. This implies an increased need for knowledge of and experience with data architectures and functionalities associated with this. An (Open) Data Architecture offering customised solutions to researchers from the various VITO fields is also under construction, in order to leverage future-oriented data-driven research.
THE ROLE
You will be responsible for designing and developing data solutions with the aim of making data more easily accessible and (re)usable. See also FAIR principles.
You will design various systems with a range of objectives: from the safe storage of personal data, where necessary in accordance with the GDPR, to making public data sets available as open data.
You will draw up field-specific guidelines for the description, drawing up and sharing of data and code, in line with international standards and best practices.
You will supervise and support employees within the organisation with the implementation and optimisation of their data needs by means of data management plans, for example.
You will follow the most recent trends within the data architecture and open science communities and experiment with new technologies in order to assess their potential.
You will help organise training, education and coaching of the employees within the various departments.
The VITO Data Science Hub designs, develops, tests and valorises data-intensive algorithms to improve sustainability in the areas of Energy, Materials, Chemistry, Health and Land Use. It’s a horizontal structure at corporate level. The Hub focuses on: • Strategy formation of data science activities at corporate level • Multidisciplinary data-intensive projects • Support and coaching of employees with regard to high-performance computing, machine learning and automated data analysis • The co-development of reusable knowledge and software and increasing the TRL (technology readiness level)
THE ROLE
You focus on opening up, harmonising and coordinating the use of available computing power at VITO in accordance with data-intensive research questions and AI applications in consultation with the data science infrastructure architect.
You will supervise and support employees within the various VITO departments with the implementation and optimisation of computationally intensive algorithms on the available computing infrastructure (GPU servers and computing clusters), both within and outside VITO.
You will design, develop and maintain qualitative and reusable AI software components to support data-intensive research and AI applications.
You will expand your knowledge and expertise and follow the trends within the deep learning, data science and distributed computing community, and experiment with new technologies to assess their potential for VITO.
You will work together with 5 colleagues within the Data Science Hub and will be prepared to further expand data science integration within VITO.
You will help organise training, education and coaching of the employees within the various VITO departments.
No English translation as Dutch is required for this position. Please take a look at the vacancy in Dutch by consulting the dutch version of the website.
VITO is a leading European independent research and consultancy centre in the areas of cleantech and sustainable development. Its research programme ‘Sustainable Materials Management’ has the ambition to accelerate the transition to a more circular economy from am aterials perspective. One of our core research activities is the development of technologies for shaping materials into added value products for use in different industrial applications, like separation and recovery of valuable materials, advanced catalyst materials and energy storage.
Sol-gel chemistry covers the synthesis of materials (eg metal oxides) from solution-state precursors. This enables a variety in structure and composition of the solid product. Recent trends indicate an increase in the use of sol-gel chemistry for the development of nanoscale powders to be used as catalyst materials or supports functionalised separation beads. As a post-doctoral research fellow you will take an important role in the development of this rapidly evolving research track.
VITO has unique expertise in the shaping of powders using 3D-printing and microsphere production.
In this 2 year post-doctoral research project we aim to further develop specific sol-gel synthesis routes for metal oxides to be implemented in these innovative shaping technologies.
More specifically the chemistry of the sol-gel reaction will be tuned to optimize the kinetics towards our droplet coagulation or micro-reactor process. The aim is to control the architecture and composition of the microsphere;
Also novel sol-gel strategies for the solidification of the precursors during the 3D-printing process will be investigated;
An important aspect during this project is taking into account the scale-up of the process to relevant quantities for further testing in the various application under investigation.
As a researcher, you will contribute to the Flemish, European and international environmental policy relating to air quality.
You develop models that simulate and predict the presence of pollutants in the atmosphere. These models will be used to support the environmental policy of Flemish and foreign authorities and the industry. Urban air quality is a focus area of the team.
You are responsible for analysing model results and reporting to the client or the end user. Processing of (large) data sets therefore plays an important role.
You integrate your knowledge and expertise in collaborative projects with your fellow researchers, report the results of these and publish them in academic journals.
We are looking for a consultant with strong research skills to reinforce the energy market team. As an expert on energy markets and networks, you will be involved in a number of projects with the goal of designing a low carbon energy system. You will be in charge of acquiring new projects and writing proposals. You will be responsible for management of a task within your expertise. Topics include, but are not limited to market design (from futures to day-ahead to real time markets), local energy communities, emerging roles and tasks in the energy sector, business models for integration of flexibility in the electricity networks, and disruptive technologies in the energy sector. In your work, you will often be considering viewpoints of different stakeholders, and take into account technical, economic and regulatory aspects of the problem. You will be based in VITO/EnergyVille in Thor Park Genk.
As an expert on energy markets and networks, you will
Be involved as an expert on several international and national projects.
Identify challenges of different stakeholders in the energy markets.
Propose solutions to overcome the challenges faced by different stakeholders in the energy landscape.
Advise the relevant stakeholders based on your research findings.
Take the lead in writing offers to tenders and project proposals.
Manage tasks and projects related to your area of expertise.
Transfer your knowledge to more junior team members.
SENIOR R&D CONSULTANT ENERGY STRATEGIES AND POLICY
Genk
R&D & Engineering
Description:
As a senior consultant, you will advise policy makers and industry operating at European and international level on the evaluation, development and implementation of their energy and climate related strategies.
Coordinating and delivering integrated assessments on energy & climate policy, based upon collection and analysis of statistics & indicators, summarising and critically evaluating literature, stakeholder interviewing, for example.
You will interpret these results and on this basis, formulate scientific recommendations tailored to the client's needs. You will report the research results to our clients (authorities and industry).
You are responsible for coordinating and conducting consultative assignments within time and budget. You will work in a team, but will also be responsible for carrying out consultative assignments independently.
You will take the lead in writing client offers, research proposals and seeking funding opportunities.
You will continue expanding your knowledge within energy & climate policy domain on the basis of literature, networking, courses and on-the job experience. Within your area of expertise, you will be an active follower of the trends and the studies carried out by other consultants, research institutions and universities.
You will identify routes for new developments, playing an active role in exploring research questions for energy & climate related areas.
The VITO-GOAL laboratory specializes in organic and inorganic analysis. Every year, it processes over 150 projects. The laboratory rarely carries out standard measurements. Most of its work is “made-to-measure”; especially made to fit the client’s demands. Clients often approach the laboratory with a specific problem or question, rather than wanting to know which analysis they would need. Our analytical team proposes a plan of approach and it helps provide solutions. The laboratory has a wide range of technology at its disposal; from simple to highly sophisticated equipment. Our customers are players in various industries: chemistry, food, pharmaceutics. Any complex question can be answered by the VITO-GOAL laboratory. Would you like to contribute to this team? We are looking for a motivated Lab Professional to strengthen our organic analysis team.
You are involved in the realization of various analysis tasks within the organic team. Together with the project leader, you think about the approach of the analysis and you make an estimate of the efforts to be made (time & resources);
The focus is on analysis using GC and LC chromatographic techniques coupled with mainly DAD and MS
You are responsible for the entire analysis process: sample preparation, development and validation of the most suitable measuring method, performing of measurements, quality control, interpreting the raw data obtained and the associated data processing and reporting. You make sure that the analysis are performed within the given deadlines and within the available budgets.
You perform these tasks in collaboration with other GC and LC team members. You report to the project leader.
You will actively contribute to the development process of new methods and to the improvement of applications already existing.
You communicate independently and on time about the progress of the work and about any unforeseen circumstances for which you work out a plan of action into a solution.
