Scientific Software Engineer - Data Analysis & Algorithms at Gnothis AB

Quantum Scopes AB

About the Role: Quantum Scopes is seeking a motivated Researcher to contribute to the development of advanced quantum microscopy and optical instrumentation. The role combines experimental quantum optics, scientific software development, and data acquisition, supporting cutting-edge research in quantum photonics and imaging. Key Responsibilities: * Develop and maintain scientific software for instrument control and data acquisition using Python and C++. * Design and implement graphical user interfaces (GUIs) for laboratory experiments. * Develop automated data analysis pipelines for high-throughput experimental measurements. * Integrate and test optical and electronic hardware, including cameras, detectors, motion stages, and laboratory instruments. * Assist in the design, alignment, calibration, and optimization of optical systems. * Troubleshoot experimental hardware and software to ensure reliable operation. * Collaborate with researchers to develop new measurement techniques and improve experimental workflows. * Maintain technical documentation and support reproducible research practices. Required Qualifications: * Master’s degree in Physics, Engineering Physics, Electrical Engineering, Photonics. * Experience with cryogenics and superconducting quantum devices. * Experience in quantum optics, photonics, microscopy, or spectroscopy. * Strong programming skills in Python; experience with C++ is desirable. * Knowledge of scientific computing and data analysis. * Experience working with laboratory instrumentation and experimental systems. * Strong analytical and problem-solving skills. * Ability to work independently as well as in a collaborative research environment. Preferred Qualifications: * Familiarity with data acquisition systems and laboratory automation. * Experience with optical alignment and imaging systems. * Knowledge of scientific GUI development (e.g., PyQt/PySide). * Experience with version control systems such as Git. What We Offer: * Opportunity to work on cutting-edge quantum technologies. * Collaborative and research-driven work environment. * Exposure to advanced optical instrumentation and scientific software development. * Professional growth through interdisciplinary research and engineering projects.

Valley Recruitment AB

Gnothis AB is seeking for a hands-on engineer who enjoys building experimental systems in a laboratory environment. The role combines microfluidics integration, instrument prototyping, and Python-based automation. This is a permanent position based at our HQ, located at the campus of Stockholm University (Stockholm, Sweden). Gnothis, founded in 2015 and supported by highly innovative industrial professionals and technology developers, is on a mission to develop a new frontier for single molecule DNA sequencing; to break the mold on how sequencing is used as a clinical tool for the diagnosis of complex diseases. Gnothis technology integrates a wide range of cutting-edge sciences ranging from nanotechnology, photophysics, optics, surface chemistry, biochemistry and computational science. Since we have taken significant steps forward and now need to solve the remaining crucial challenges before commercialization; for the right person this is a unique opportunity to become a valuable member, to use your “think-outside-the box” mentality with aim to develop a new world-class technology platform! Our instrumentation, software and analysis team currently consists of four engineers and we are now expanding the team as we scale development of the system. The work is primarily on-site and very practical, involving both hardware integration and control software development. The position is part of a multidisciplinary team developing a prototype DNA sequencing instrument combining microscopy, microfluidics, nanofabrication and advanced data analysis. Initial Project The first major task will be to design and integrate a microfluidics subsystem into our existing microscope prototype – to plan, test, order and add already commercially available components to a final prototype. This includes selecting and integrating a commercial microfluidics system (e.g. Elveflow or similar), designing a custom sample chip holder and fluid interface, integrating control into an existing Python control software, and establishing practical operation and cleaning procedures. The work is supported by a biochemistry team, but we are seeking for the right candidate who can make confident engineering decisions based on previous hands-on experiences connected to eg. microfluidics and laboratory automation. Responsibilities Mechanically integrate new devices into a prototype life-science instrument. The initial focus is on liquid sample handling, such as flow and temperature control. Develop Python control and automation software, starting from existing vendor SDKs. Design simple mechanical parts (CAD / 3D printing) Hands-on prototyping and debugging in the lab Method development for instrument performance evaluation and self-calibration. Over time the role will involve increasing focus on automation and device control software. Candidate Profile For you to enjoy performing expected activities, and being a valuable member in an ambitious and innovative team; we think you are an engineer with a strong creative mindset and with strong previous experience building/developing scientific or laboratory instrumentation. This role suits someone who enjoys experimental prototyping in a small startup environment. The candidate should be comfortable collaborating in a multidisciplinary research environment consisting of engineering, software, biochemistry and nanofabrication experts. Relevant backgrounds and skills include: Master of Science and/or Ph.D. educational background – ideally combined with a relevant Life Science focus. Practical experience with microfluidics systems Python programming for hardware control Comfortable with hands-on lab engineering (CAD, electronics, prototyping) Microscopy / Optics / Imaging Lab automation / Liquid handling Mechatronics / Robotics A recent Ph.D. with strong hands-on instrument development experience could also be a good fit for this position. Gnothis offer a creative environment focused on technology and product development, a competitive compensation package and plenty of room for self-development as the company expands. This is a permanent position (not consultant assignment). If above sounds like an exciting opportunity and you would like to hear more, do not hesitate and submit your application and we will get back to you! Gnothis AB on LinkedIn: https://www.linkedin.com/company/gnothis/posts/?feedView=all For inquires please email us at: markus.dahl@valleyrecruitment.se

NATURHISTORISKA RIKSMUSEET

The Swedish Museum of Natural History is a government agency with a mandate to promote knowledge, research and interest in our world. It is a prominent research institution and Sweden's largest museum. For more than 200 years, the museum has been collecting specimens and data and conducting research on life on earth. The collections contain more than 11 million plants, animals, fungi, environmental samples, minerals and fossils. All research and knowledge are shared in the exhibitions, Cosmonova and in activities at the museum and digitally. 1 job(s). WORK TASKS The Department of Bioinformatics and Genetics at the Swedish Museum of Natural History is offering a two-year Postdoc position focused on Floral Traits, Machine Learning and Macro-evolution.  This project aims to investigate the evolution of flower size on oceanic islands by combining phylogenetic comparative methods with machine learning-based extraction of trait data from digitised botanical floras. The successful candidate will develop computational workflows to generate large-scale, standardised datasets of floral traits and use these to test hypotheses about the predictability and drivers of flower-size evolution in island systems.  As a postdoc in this project, you will work with developing methods in ML, integrate macro-phylogenetic tools to understand floral trait evolution on islands.  The preferred start date is 01-10-2026. QUALIFICATIONS Qualifications: • completed a PhD in plant systematics or a related field • Demonstrated expertise in phylogenetic comparative methods and macroevolutionary analyses.  • Strong programming skills in R and experience analysing large, complex biological datasets. • Excellent proficiency in English, both spoken and written. (The research environment is international, therefore English is required. In addition, experience in the following areas will be considered: •  Experience with plant biodiversity data, digitised floras, and/or trait databases. • Interest in natural language processing, large language models, or machine learning applied to biological data. • At least one publication in an international, peer-reviewed journal • At the final application date, no more than three years shall have passed since the doctoral degree was awarded, or since a foreign degree deemed equivalent to a doctoral degree was obtained. If there are special reasons, an earlier degree may also be considered meritorious. Special reasons include leave due to illness, parental leave, elected positions within trade unions, service within the national defence, or other similar circumstances, as well as clinical service or other assignments relevant to the subject area  Personal competences •  Analytical thinking, creativity and the capacity to imagine novel solutions and take initiative. • Ability to collaborate and to carry out research independently • Good communication skills, ability to keep an open mind and communicate your ideas. The selection of eligible candidates will be based on their potential to benefit from the training. The following criteria will be used to assess this potential: documented knowledge in a relevant research field, proficiency in written and spoken English, analytical thinking skills, ability to collaborate, as well as creativity, initiative, and independence. The evaluation will consider previous experience and academic performance, the quality of the degree project, references, relevant experience, interviews, and the candidates written motivation for applying. You have to have your own salary secured. Form of employment: Temporary employment. Duration:, commencement: 2026-10-01 To be considered for this position, you are required to have your own external funding for the project. To be considered for this position, you are required to have your own external funding for the project. Please include the following documents with your application: • CV summarizing your education, positions, and academic work, including scientific publications. • A Research plan (max. 4 pages), including:  - Main objectives, background, methodology, impact, and future potential of the project. - Description of data-driven methods used and/or developed within the project. - Budget, time plan, project risks, and mitigation plan. • Proposal abstract (300 words) • Names and contact details of 2-3 references We advance our knowledge of the natural world, inspiring to better care of our planet. Our ambition is that the employees of The Swedish Museum of Natural History shall represent the diversity in Sweden and we welcome every applicant. We apply an individual, differentiated and objective salary-setting system in accordance with the collective agreements RALS and RALST-T. We have decided upon choices for marketing. Therefore we decline contact with sales agents, recruitment sites and similar.