Tag: Chalmers

My colleague and friend Clemens Wittenbecher has an open doctoral student position at Chalmers in Data-Driven Precision Health Research. Clemens works with developing novel biomarker panels to quantify individual disease risk. The project itself will focus on innovative machine learning and artificial intelligence approaches to integrate multi-layer -omics data with bioimages of cardiovascular and metabolic tissues (computer tomography, ultrasound and magnetic resonance imaging).

Clemens is a fantastic person and a great supervisor so if your interests is in line with the position, I strongly suggest you take a look at it! Application link here:

https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=11810&rmlang=UK

I became quite happy this morning while scanning though the new Chalmers recruitments for new assistant professors in the Area of Advance calls this year (unfortunately this news item went out only on the intranet for some reason, but I will recap with names for easy googling).

Out of 15 recruitments, 10 are women – that’s almost 70%, which must be regarded very positive in terms of gender balance at a university with a male-dominated faculty. Of the five men, only two seem to be of European background, with the other three being non-white from different cultural spheres. In the end, only two out of fifteen (<15%) are the “traditional” Swedish university type (white men) who dominate the Chalmers faculty today.

Well done with the recruitments, especially if these are also the best persons for the positions (which I assume they are given how hard these positions are to get!) Also, good luck to the new PIs, I have already spoken to two of them who will land at the same department as I am in, and I can’t wait to start working with these brilliant minds!

Here’s the complete list of recruitments:

• Mathilde Luneau, Area of Advance Energy – Department of Chemistry and Chemical Engineering
• Alexander Giovannitti, Area of Advance Material – Department of Chemistry and Chemical Engineering
• Varun Chaudhary, Production Area of Advance – Department of Industrial and Materials Science
• Maud Lanau, Sustainable Cities – Department of Architecture and Civil Engineering
• Margaret Holme, Basic science – Department of Biology and Biological Engineering
• Annikka Polster, Health Engineering Area of Advance – Department of Biology and Biological Engineering
• Eszter Lakatos, Health Engineering Area of Advance – Department of Mathematical Sciences
• Elena Pagnin, Information and Communication Technology Area of Advance – Department of Computer Science and Engineering
• Ilaria Torre, Technology in Society – Department of Computer and science engineering
• Kun Gao, Transport Area of Advance – Department of Architecture and Civil Engineering
• Angela Grommet, Excellence Initiative Nano – Department of Chemistry and Chemical Engineering
• Georgia Panopoulou, Basic Science – Department of Space, Earth and Environment
• Hans Chen, Basic Science – Department of Space, Earth and Environment
• Saara Matala, Technology in Society – Department of Technology Management and Economics
• Nils Johan Engelsen, Excellence Initiative Nano – Department of Microtechnology and Nanoscience

Our open doctoral student and postdoc positions closed over the weekend, and in total we had 110 applications, although some persons applied to more than one of the positions, bringing the total number of applicants down a bit. Still, this will be a lot of work for me. I will prioritize the postdoc position, as this had the fewest applications. So if you applied to one of the two PhD student positions, please give it some time.

A quick skimming of the applications shows that we have had extraordinary high quality of applications overall, although some of the applicants will be a bit too wet-lab oriented for these specific positions.

Thanks a lot for your interest in the lab’s work! I appreciate all of your efforts!

As I wrote a few days ago, I have now started my new position at Chalmers SysBio. This position is funded by the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), which also funds PhD and postdoc positions. We are now announcing two doctoral student projects and one postdoc project within the DDLS program in my lab.

Common to all projects is that they will the use of large-scale data-driven approaches (including machine learning and (meta)genomic sequence analysis), high-throughput molecular methods and established theories developed for macro-organism ecology to understand biological phenomena. We are for all three positions looking for people with a background in bioinformatics, computational biology or programming. In all three cases, there will be at least some degree of analysis and interpretation of large-scale data from ongoing and future experiments and studies performed by the group and our collaborators. The positions are all part of the SciLifeLab national research school on data-driven life science, which the students and postdoc will be expected to actively participate in.

The postdoc and one of the doctoral students are expected to be involved in a project aiming to uncover interactions between the bacteria in microbiomes that are important for community stability and resilience to being colonized by pathogens. This project also seeks to unearth which environmental and genetic factors that are important determinants of bacterial invasiveness and community stability. The project tasks may include things like predicting genes involved in pathogenicity and other interactions from sequencing data, and performing large-scale screening for such genes in microbiomes.

The second doctoral student is expected to work in a project dealing with understanding and limiting the spread of antibiotic resistance through the environment, identifying genes involved in antibiotic resistance, defining the conditions that select for antibiotic resistance in different settings, and developing approaches for monitoring for antibiotic resistance in the environment. Specifically, the tasks involved in this project may be things like identifying risk environments for AMR, define potential novel antibiotic resistance genes, and building a platform for AMR monitoring data.

For all these three positions, there is some room for adapting the specific tasks of the projects to the background and requests of the recruited persons!

We are very excited to see your applications and to jointly build the next generation of data driven life scientist! Read more about the positions here.

Today was a big day, as it was my first ‘real’ working day at SysBio at Chalmers University of Technology. (Quotation marks as I have had access to an office at SysBio for a few weeks, and also because I spend the afternoon on meetings at Sahlgrenska.) Regardless, this marks the start of a transition period where the lab will be moving more and more of our routines to Chalmers, which will culminate when the lab-dependent persons will move into our new labs after the summer.

We also welcomed our Erasmus intern Manuela Seehauser to the lab today, as well as Marius Surleac who is visiting us for a few weeks from Romania.

Finally, we have announced new positions related to my new Chalmers-funding. More on those soon. Speaking of jobs, if you’re interested in doing a bioinformatics postdoc with me and Joakim Larsson you have two more days to apply for that position!

I have very big and exciting news to share with you. After more than 10 years at the Sahlgrenska Academy, me and my lab will be moving from the University of Gothenburg to Chalmers University of Technology (which is physically a move of less than a kilometer, so still within Gothenburg). I have been offered a position at the Division of Systems Biology, funded by the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS). The total funding to my lab will be 17 million SEK, with some co-funding from Chalmers added in on top of that.

I am of course very excited about this opportunity, which will bring some infrastructure that we need in-house that we don’t have easy access to today. At the same time, I am sad to leave my academic ‘home’, and the fantastic people we have been working with there for the years. I am also endlessly thankful for the support and trust that the Sahlgrenska Academy, the Institute of Biomedicine and the Department of Infectious Diseases have put into me and my research over the past years.

The transition to Chalmers will start already in May, but will be gradual and continue for a long time. We have close ties to the Sahlgrenska Academy and we will keep closely collaborating with researchers there. I will also retain an affiliation to the University of Gothenburg, at least for the near future.

All in all, this year will bring very interesting development, and this additional funding from the DDLS program will allow us to venture into new areas of bioinformatics and try out ideas that have previously been out of reach. I look forward to work with our new colleagues at Chalmers and within the DDLS program in the coming years!

If you are skilled in bioinformatics and want to work with one of my favorite persons, you should check out this postdoc ad closing January 9. This two-year position in Erik Kristiansson‘s lab at Chalmers University of Technology is a great opportunity to work with fantastic people on highly interesting questions. It has applications in infectious diseases and antibiotic resistance, and will be focused on genomic analysis of antibiotic resistance and virulence and their evolutionary history. The work includes both the development of new data-driven methodologies and the application of existing methodology to new datasets. The position will involve collaborations with researchers from clinical microbiology and the environmental sciences within the Centre for Antibiotic Resistance Research.

If you’re looking for a PhD position in bioinformatics, working with antibiotic resistance, there’s an opening in Erik Krisiansson’s (best bioinformatician in Gothenburg? I think so) group. To apply you need to have a master’s level degree in bioinformatics, mathematical statistics, mathematics, computer science, physics, molecular biology or any equivalent topic, obtained latest June 2014. If you’re a master student and want to join us, this is your chance! You can read more and apply for the position here.